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AI Research Scientist - Datadog AI Research (DAIR)
As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: - World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. - Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability - Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure - Design and build simulated environments and RL training loops for on-policy agent training and evaluation - Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products - Stay at the forefront of foundation models, world models, and RL-based agent research - Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks Who You Are: - You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) - You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) - You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) - You are familiar with efficient training, post-training, and inference techniques for large foundation models - You can explain complex models and research findings to both technical and non-technical audiences Bonus Points (any of the following): <li
Actuator Design Engineer
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We are seeking a Senior Actuator Design and Integration Engineer to lead the development of custom electromechanical actuators for advanced robotic systems. You will own actuator development from early architecture and concept generation through prototype validation and system integration, partnering closely with mechanical, electrical, controls, firmware, reliability, and manufacturing teams. This role focuses on the design, integration, and validation of precision electromechanical systems, including motors, transmissions, sensing, structural components, and thermal architectures. You will help drive actuator development across the full engineering lifecycle while establishing scalable design, test, and integration practices for future robotic platforms. This role is based in San Francisco, CA, and requires in-person presence 4 days a week. In this role, you will - Lead the architecture, design, and integration of custom robotic actuators, including motors, transmissions, sensing, thermal systems, structural components, and packaging. - Define actuator requirements and system-level trade studies around torque density, bandwidth, efficiency, thermal performance, backdrivability, inertia, reliability, manufacturability, and cost. - Design precision electromechanical assemblies with strong attention to tolerances, alignment, load paths, thermal expansion, sealing, wear, and serviceability. - Drive actuator integration into robotic systems, partnering closely with controls, firmware, electrical, and robotics software teams to optimize closed-loop performance. - Develop and evaluate architectures with integrated sensing and encoder strategies. - Build and validate prototypes through hands-on bring-up, debugging, characterization, and iterative refinement. - Develop test methodologies and characterization infrastructure for actuator performance, reliability, durability, and failure analysis. - Analyze test data to identify limitations, failure modes, and opportunities for design improvement. - Collaborate with manufacturing and supplier partners to transition designs from prototype to scalable production-ready assemblies. - Support DFM, DFA, DFT, calibration, and assembly strategies for electromechanical subsystems. - Contribute to actuator sourcing strategy, vendor qualification, prototype builds, and supply-chain development. - Document designs, interfaces, validation results, and engineering decisions to support long-term maintainability and production readiness. - Help establish engineering standards, integration practices, and development workflows for future robotic platforms. You might thrive in this role if you - Have strong intuition for designing high-performance electromechanical systems and understanding the tradeoffs between performance, robustness, manufacturability, and cost. - Enjoy operating at both subsystem and system levels, balancing actuator-level optimization with overall robot integration needs. - Are highly hands-on and enjoy building, debugging, instrumenting, and testing hardware directly. - Can move fluidly between first-principles analysis, rapid prototyping, and production-oriented engineering decisions. - Are comfortable working in fast-moving environments with evolving requirements and aggressive technical goals. - Have a strong sense of ownership and proactively drive cross-functional alignment to unblock progress. - Communicate clearly across disciplines and can collaborate effectively with research, controls, manufacturing, and operations teams. - Care deeply about engineering rigor while maintaining the ability to iterate quickly. - Are motivated by enabling the next generation of intelligent robotic systems through differentiated hardware capabilities. Preferred qualifications - Bachelor’s degree in Mechanical Engineering, Robotics, Mechatronics, or a related field - 7+ years of experience designing electromechanical systems, robotic actuators, or precision mechatronic hardware. - Experience developing actuators for robotics, automation, aerospace, automotive, or other high-performance dynamic systems. - Strong understanding of motors, transmissions, bearings, encoders, structural design, thermal management, and precision mechanical integration. - Familiarity with actuator sensing architectures, including encoder integration and calibration strategies. - Experience designing for prototype and production manufacturing processes including machining, casting, molding, and assembly. - Proficiency with CAD and PLM tools such as NX and Teamcenter or equivalent systems. - Experience developing validation plans, reliability testing, and failure analysis workflows. - Experience scaling hardware systems from prototype through EVT/DVT/PVT and into production is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine
Senior Technical Artist, AI / Artiste Technique Sé...
The opportunity At Unity, we’re shaping the future of real-time 3D by applying AI to revolutionize how games are created and experienced. From intelligent authoring tools to new ways of interacting with content, we’re building the next generation of AI-powered pipelines that enable faster, more immersive, and more efficient 3D game development. We’re seeking a Senior Technical Artist to join the Unity AI Authoring team. In this role, you’ll design and build AI-driven workflows, pipelines, test project environments and tools, transforming how games are designed, prototyped, and launched. If you love combining artistic creativity with technical problem-solving and enjoy pushing the boundaries of AI-driven game creation, then we’re eager to hear from you What you'll be doing - Designing and developing workflows, pipelines, and tools to support AI-assisted game creation. - Integrating assets from art & design teams and implementing features that allow AI agents to interact with and enhance them. - Rapidly prototyping ideas and AI-powered game systems to explore new gameplay experiences. - Developing solutions to bring real-world assets and data into real-time applications. - Researching and experimenting with emerging technologies to push the boundaries of AI in games. - Collaborating in small teams to deliver projects across multiple platforms, including desktop, AR/VR headsets, mobile, WebGL, and more. What we're looking for - Experience in game development, preferably with Unity. - Strong artistic talent and a portfolio demonstrating creativity and technical skill. - Strong experience designing and building AI-driven workflows - Experience with LLM datasets and benchmarking - Solid understanding of one or more 3D creation suites (Maya, Blender, etc.). - Experience with 3D model optimization and real-time performance considerations. - Familiarity with art production workflows such as modeling, texturing, rigging, animation, or lighting (HDRP/URP). - Intermediate skills in C# or another programming language. - Ability to rapidly prototype ideas and iterate based on feedback, particularly in AI-assisted workflows. You might also have - Production experience developing AR/VR applications for headset platforms. - Knowledge of rendering performance and optimization techniques. Additional information - Relocation support is not available for this position - Work visa/immigration sponsorship is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource
Artiste Technique Sénior, IA / Senior Technical Ar...
L’opportunité Chez Unity, nous façonnons l’avenir de la 3D en temps réel en appliquant l’IA pour révolutionner la façon dont les jeux sont créés et vécus. Des outils de création intelligents aux nouvelles manières d’interagir avec le contenu, nous construisons la prochaine génération de Pipelines assistés par l’IA, permettant un développement de jeux 3D plus rapide, plus immersif et plus efficace. Nous recherchons un(e) Artiste Technique Sénior pour se joindre à l’équipe Unity AI Authoring. Dans ce rôle, vous allez concevoir et créer des flux de travail, des Pipelines, des environnements de projets de test et des outils propulsés par l’IA, transformant la façon dont les jeux sont conçus, prototypés et lancés. Si vous aimez allier créativité artistique et résolution de problèmes techniques, et que vous avez envie de repousser les limites de la création de jeux assistée par l’IA, nous serons ravi(e)s de vous connaître. Ce que vous allez faire - Concevoir et développer des flux de travail, des Pipelines et des outils pour soutenir la création de jeux assistée par l’IA. - Intégrer les ressources provenant des équipes artistiques et de design et mettre en œuvre des fonctionnalités qui permettent aux agents IA d’interagir avec celles‑ci et de les enrichir. - Prototyper rapidement des idées et des systèmes de jeu propulsés par l’IA afin d’explorer de nouvelles expériences de jeu. - Développer des solutions permettant d’intégrer des ressources et des données du monde réel dans des applications en temps réel. - Effectuer de la recherche et expérimenter avec des technologies émergentes afin de repousser les frontières de l’IA dans les jeux. - Collaborer au sein de petites équipes pour livrer des projets sur plusieurs plateformes, notamment les ordinateurs de bureau, les casques AR/VR, les appareils mobiles, le WebGL et d’autres encore. Ce que nous recherchons - Avoir de l’expérience en développement de jeux, idéalement avec l’éditeur Unity. - Posséder un talent artistique marqué et un portfolio démontrant créativité et maîtrise technique. - Avoir une solide expérience dans la conception et la création de flux de travail propulsés par l’IA. - Avoir de l’expérience avec des jeux de données pour LLM et le benchmarking. - Disposer d’une bonne compréhension d’au moins une suite de création 3D (Maya, Blender, etc.). - Avoir de l’expérience en optimisation de modèles 3D et en performance temps réel. - Être familier(ère) avec les flux de production artistique comme le modélisation, le texturage, le rigging, l’animation ou l’éclairage (HDRP/URP). - Avoir des compétences intermédiaires en C# ou dans un autre langage de programmation. - Être capable de prototyper rapidement des idées et d’itérer en fonction des retours, en particulier dans des flux de travail assistés par l’IA. Vous avez peut-être également - De l’expérience de production dans le développement d’applications AR/VR pour des plateformes de casques. - Des connaissances en performance de rendu et en techniques d’optimisation. Information supplémentaire - Le support à la relocalisation n’est pas disponible pour ce poste - Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste Avantages <
Staff Software Engineer, Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with - High-performance, large-scale distributed systems - Implementing and deploying machine learning systems at scale - Load balancing, request routing, or traffic management systems - LLM inference optimization, batching, and caching strategies - Kubernetes and cloud infrastructure (AWS, GCP) - Python or Rust You may be a good fit if you - Have significant software engineering experience, particularly with distributed systems - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Representative projects across the org - Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasing new models to millions of users - Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage - Contributing to new inference features (e.g., structured sampling, prompt caching) - Supporting inference for new model architectures&l
Strategic Projects Lead - Coding
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression. You will: - Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins - Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs - Build out pipeline infrastructure to ensure quality and efficiency - Train, coach, and manage dynamic and global teams - Build analytics to make data-driven decisions - Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world - Give regular progress updates to Scale’s executive team You Will Have: - A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes - 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE - Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems - Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working w
GTM Chief of Staff
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. CHIEF OF STAFF, APAC | ELEVENLABS ElevenLabs is one of the fastest-growing AI companies in the world, valued at $11B and expanding aggressively across Asia Pacific. We're looking for a Chief of Staff to work directly alongside our GM of APAC. About the role This is a high-trust, high-impact role for someone who combines sharp strategic thinking with hands-on execution. You'll be the operational backbone and strategic partner to the GM — driving revenue operations, keeping the team accountable to process, coordinating across some of the world's most complex enterprise relationships, and making sure nothing slips as we scale fast across a multi-market region. No job is too small. No task is beneath you. The upside is significant. WHAT YOU'LL DO - Partner directly with the GM on strategy, revenue operations, and regional planning - Own forecasting, pipeline hygiene, and capacity planning across the APAC team - Support and coordinate on complex deal execution - Sit in on AE interviews, customer meetings, representing the GM when needed - Manage complex calendars, cross-timezone coordination and projects - Keep the team aligned on company processes and following through on commitments - Identify and solve operational problems before they escalate - Use AI tools to automate, streamline, and multiply your own impact - Handle sensitive matters with discretion and act a
Strategic Finance Manager, Gen AI
We are building out the Finance team to help make data-driven and financially sound decisions for Scale. The Finance team drives strategic, financial, and operational decisions by partnering with the leadership team to make critical decisions across Scale. We’re looking for a high-performing, all-rounded finance athlete to join our team and support the rapidly growing Generative AI (GenAI) business. You’ll collaborate closely with Product, Operations, Growth, and Go-to-Market leaders to bring financial rigor to decision-making, develop actionable insights that drive strategy, and build scalable systems as the business expands. This role is ideal for someone with 4-6 years of experience in a fast-paced, high-growth environment. Someone who thrives in ambiguity, can juggle multiple workstreams, and brings a mix of analytical rigor, business acumen, and strong execution. You will: - Own and evolve part of the GenAI financial forecasting model, driving accuracy and insight across planning cycles - Support reporting and performance management, including weekly and monthly reviews, consolidations, and ad hoc analyses - Partner with GenAI leadership and cross functional teams to evaluate and execute key strategic and operational initiatives that scale the business multifold - Conduct financial analyses and build business cases for new products, partnerships, and investments - Collaborate with Accounting, and Corporate Finance to improve close, reporting, and planning cadences - Continuously improve financial processes and systems to enhance scalability, forecast precision, and data visibility Ideally, you'd have: - 4–6 years of experience in Strategic Finance, FP&A, or Business Operations, ideally within a high-growth technology company - 2 years of investment banking experience at a top-tier firm - Strong analytical and financial modeling skills; ability to translate complex data into actionable insights - Excellent communication skills, with the ability to distill complexity into clear narratives for non-finance stakeholders - Advanced proficiency in Excel, Google Sheets, and PowerPoint; strong command of financial modeling best practices - Experience with SQL or Business Intelligence tools (e.g., Looker, Tableau) - Familiarity with Anaplan, Adaptive Insights, or other planning systems Nice to haves: - Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field - Prior experience supporting Product, Engineering, Growth, or Operations teams within a technology company Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity g
AI Research Engineer - Datadog AI Research (DAIR)
As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: - World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. - Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling - Implement models, run experiments at scale, and profile for reliability, performance, and cost - Build simulation environments and replay infrastructure for agent training and evaluation - Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery - Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity - Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services - Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are: - You have depth in distributed computing, RL Infra, and ML systems for training a
People Research Data Scientist, AI Fairness & Bias
About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: - Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. - Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. - Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions of fairness, and clearly document the assumptions, limitations, and residual risks of each approach. - Evaluate end-to-end human-AI decision systems, including model outputs, user behavior, human overrides, escalation pathways, and whether AI assistance changes the quality, consistency, or equity of decisions. - Develop evaluation approaches for generative and agentic AI, including test-set design, counterfactual testing, behavioral evaluation, human-rating studies, robustness testing, and analysis of disparate performance across populations and contexts. - Investigate the sources of observed disparities, including data representation, label and measurement bias, proxy variables, model design, decision thresholds, workflow design, and differential adoption or usage. - Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight. - Build scalable fairness-evaluation infrastructure, including reusable datasets, automated validation pipelines, regression tests, monitoring systems, self-service tools, and standardized reporting. - Establish research and documentation standards for fairness test plans, dataset and model documentation, validation reports, limitations, monitoring plans, and decision records. - Translate complex findings into concise, decision-ready narratives, helping leaders understand the significance of identified risks, the strength of the evidence, available mitigation options, and remaining uncertainty. You might thrive in this role if you have: - Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems. - Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling. - Hands-on experience applying methods such as subgroup and intersectional analysis, adverse-impact testing, equalized-odds and equal-opportunity analysis, demographic-parity assessment, calibration analysis, counterfactual testing, measurement invariance, reliability analysis, and validation studies. - Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness. - Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence. - High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets. - Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows. - Ability to distinguish statistical disparities from their potential causes and to communicate findings without overstating certainty or making unsupported causal or legal conclusions. - Ability to work effectively with technical, operational, legal, privacy, and executive stakeholders and influence consequential decisions through evidence and sound judgment. - Deep curiosity, intellectual humility, strong attention to detail, and a commitment to developing AI systems and organizational processes that work well for people across different backgrounds and circumstances. Preferred Qualifications - Experience conducting fairness assessments, algorithmic audits, model-risk reviews, adverse-impact analyses, or validation studies in employment or another high-impact domain. - Familiarity with fairness and model-evaluation tools such as Fairlearn, AI Fairness 360, responsible-AI evaluation frameworks, explainability methods, or comparable internal tooling. - Experience evaluating large language models, generative AI systems, safety classifiers, or agentic workflows, including behavioral testing and human evaluation. - Experience with employment selection, talent assessment, psychometrics, organizational research, or the validation of hiring, performance, promotion, or workforce decisions. - Familiarity with responsible-AI frameworks and emerging requirements related to automated employment decision systems, algorithmic auditing, data privacy, and AI governance. - Experience creating model cards, dataset documentation, fairness scorecards, audit reports, monitoring plans, or other review artifacts for high-impact systems. - Advanced degree in Quantitative Psychology, Computer Science, Statistics, Economics, Data Science, Behavioral Science, or a related quantitative field; PhD preferred but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
VP of Operations, AI Simulation
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY We are seeking a VP of Operations to serve as the operational architect for our AI Simulation business unit at SandboxAQ. This is a role for a Builder-Operator to drive rigorous processes and deliver transformative impact by scaling operational infrastructure, developing innovative capacity planning, and navigating complex data-oriented processes all through high EQ influential team leadership. In this role, you will be the operational engine propelling two of our most ambitious divisions centralized under AI Simulation: BioSim (Drug Discovery) and ChemSim (Materials Science). This is a role for a specialist in scaled execution. The ideal candidate is deeply tactical and data-oriented and possesses the high EQ necessary to navigate complex people dynamics. When you aren't developing dashboards to unblock the team, you are performing root-cause analysis on why a process or a team is getting stuck, and using influence to guide change, and ensure both units are positioned for global scale. You will build and spearhead a division that is defining the future of AI-driven science. You will have the purview of a COO with the backing of a world-class organization, focused on solving the world's hardest problems in chemistry and biology. KEY RESPONSIBILITIES Strategic Business Architect: Provide operational support and leadership to BioSim and ChemSim divisions, running day-to-day business operations including identifying synergies in resource allocation and operationalizing scaling systems. As a key leader on a growing team your impact will come from your ability to influence and partner with Engineering, Science, and GTM. Rigorous Resourcing & Capacity Management: Lead the transition from high-growth experimentation to scaled operations by optimizing talent density and capacity across PhDs, SWEs, and GTM specialists. You will architect dynamic headcount models that align hiring with technical milestones and vertical-specific revenue triggers while being accountable for multi-million dollar compute budgets. You will introduce and manage telemetry around human resource capacity allocation across AI Simulation. Tactical Execution: Be responsible for hands-on and end to end execution, track velocity across complex milestones, and rapidly shift resources (financial and talent) as requirements arise and shift. You will establish standards for tracking milestones, manage tradeoffs in resource allocation, and communicate effectively across leadership. Interim Leadership & Chemical Simulation Oversight: Spearhead the Chemical Simulation business unit during its expansion. Your central mandate is to swiftly establish and operationalize high-priority verticals, including but not limited to Batteries, Catalysis Discovery, Semiconductor Substrates, Metal Alloys, and Magnets. You will define the playbook for how we resource and scale these initiatives and identify synergies in resource allocation, orchestration of compute requirements, an
Senior Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Identify and collect key data to support data science research across Ripple. Develop and lead product analytics initiatives for On-Demand Liquidity and Direct payment products, partnering closely with Product, Marketing, Business Development, and other business units. Build a deep understanding of the end-to-end functionality of RippleNet and end-to-end business activity driving product growth covering customer targeting, acquisition, and product usage. Define and supervise key product metrics, and design interactive dashboards using Tableau and other analytical tools. Telecommuting permitted up to 50% per week within same geographic location as assigned office location. 40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. MINIMUM REQUIREMENTS : Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or a related field, plus 5 years of experience in Data Science. Alternatively, will accept Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or a related field plus 3 years of experience in Data Science. Of the required experience, must have 3 years of experience in/with: - SQL; - Git. Must have 2 years of experience in/with: - Metrics definition and tracking; - Statistical modeling (Python or R); - BI tools including Tableau, Looker, or Mode; and - Fintech or payments industries, including developing analytics pipelines for on-demand liquidity. LI-DNI For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $201,210 - $210,410 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep
Software Engineer, Agentic AI
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Software Engineer, Agentic AI to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Bellevue, WA, with in-person attendance expected at least three days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Architect and implement distributed and cloud-based systems that support the full machine learning lifecycle - from data ingestion and preprocessing to model training, deployment, and monitoring. Develop and maintain robust backend services and APls (RESTful and gRPC) in programming languages such as Python or Go. Optimize compute, storage, and data retrieval systems using relational, NoSQL, and vector databases to enable low-latency model inference and intelligent data access. Collaborate with cross-functional teams to deliver Al-driven capabilities in domains such as market data, trading, accounting, authentication, and security. Leverage cloud infrastructure (e.g., AWS or GCP) and container orchestration technologies (e.g., Docker, Kubernetes) to manage large-scale compute environments for Al workloads. Design and maintain automated Cl/CD workflows to ensure efficient and reliable code delivery. Implement model serving and observability systems to monitor performance, ensure fault tolerance, and improve system reliability. Apply algorithms and data structures to enhance compute and data efficiency across the ML infrastructure stack. Prototype and evaluate new Al tools, frameworks, and system designs to validate concepts and optimize performance prior to large scale rollout. Drive continuous improvement by identifying opportunities for scalability, performance, and cost optimization. Contribute to open-source projects (where possible) and uphold software engineering best practices including code reviews, automated testing, and version
Senior AI Engineering Manager
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... - Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. - Contribute to the development and training of a variety of machine learning models, including large-scale neural networks. - Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. - Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group. - Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. - Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects. - Mentor team members, providing guidance and support in their professional development. - Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅ You have... - Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. - Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. - Strong background in training and fine-tuning large models in an applied setting. - Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. - Excellent communication and
Director, Enterprise Machine Learning & Research
The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You’ll Do - Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). - Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. - Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. - Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. - Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. - Stay deeply connected to the research community, understanding major trends, and helping set them. - Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results. What We’re Looking For Core Qualifications - 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains. - A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.). - Experience and track of recording in landing major research impacts in a fast-paced environment - Experience leading or managing research teams. You’re excited to mentor, coach and develop talent. - Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. - Exceptional communication and stakeholder management skills, with the ability to influence executives, customers, and cross-functional partners Nice to Have - Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments - Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale - Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes Compensation packages at Scale for eligible roles in
Machine Learning Research Scientist, Post-Training
Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: - Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. - Design and experiment new approaches to preference optimization. - Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. - Publish research findings in top-tier AI conferences. Ideally you’d have: - Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. - Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. - Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. - Excellent written and verbal communication skills - Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals - Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
Machine Learning Research Scientist, Reasoning
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning , collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you’d have: - Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. - A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). - At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. - Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: - Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. - Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. - Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. - Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. - Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benef
Senior Software Engineer, 3D Systems & AI
The opportunity The team behind Unity’s visionOS support, Play-to-Device, and Record & Playback is growing as we prepare for something even more ambitious: adapting PolySpatial to stream Unity content into other game engines and 3D environments — in-process, cross-process, and over the network. We’re building systems that allow real-time 3D experiences to run, render, and interact in places they weren’t originally authored for, including other major game engines and emerging software platforms. We’re also developing new ways to encode and exchange interactive 3D content: protocols designed not only for rendering and interchange, but also for understanding, transformation, generation, and orchestration by future AI-driven tools and systems. You’ll help invent the protocols, media formats, and runtime systems that bring interactive 3D content to novel platforms. Working at the intersection of core engine technology, graphics, networking, distributed systems, media, and AI, you’ll help define the interchange layer for the next generation of interconnected games and intelligent 3D ecosystems. What you'll be doing - Help define runtime protocols, formats, and execution models to encode, compress, and replay interactive 3D content between engines and AI models. - Own and evolve critical subsytems across the engine stack, from low-level C++ runtime code to high-level C# APIs across editor, build, simulation, streaming, and playback. - Build systems to capture, serialize, stream, and synchronize scene state, components, assets, user interactions, and rendering data under tight bandwidth, latency, determinism, and memory constraints. - Design interfaces and feedback loops that allow AI systems to inspect engine state, invoke engine capabilities, and validate outcomes. What we're looking for - Core Engine Experience : Experience building or fundamentally extending game engine cores, middleware, or foundational systems (e.g. serialization, build pipelines, memory subsystems). - AI Systems Fluency : Practical experience integrating AI/ML into production software, including areas such as model training, data collection, evaluation loops, agents, tool use, or model-context protocols. - Architecture & Execution : Ability to design modular, testable systems - then implement, profile, debug, and ship them end-to-end. - High-Performance Coding : Strong C++ and C# skills, with practical understanding of CPU caches, memory layout, allocation patterns, branch behavior, profiling, and performance tradeoffs in real-time systems. - Engine-Wide Breadth : Hands-on experience across multiple engine domains — such as physics, animation, input, rendering, assets, or build systems — and how they interact. You might also have - Experience building infrastructure for training data generation, synthetic data, simulation environments, evaluation harnesses, reinforcement learning, or agentic workflows. - Familiarity with 3D data formats and spatial content pipelines, such as USD, glTF, procedural generation, or semantic scene representations. - Experience with MCP-style tool interfaces, LLM agents, multimodal models, inference pipelines, embeddings, vector search, or AI syste
Senior AI Designer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. DESIGN What We Do Put your design skills to work at a cutting-edge company that challenges the norm. From character and level design to competitive gameplay and system design, help shape the future of interactive entertainment at Epic. What You'll Do Epic Games is looking for an experienced Senior AI Designer to join our cross-disciplinary development team, where you will own the vision and create innovative features. In this role, you will - Own the design vision for AI-focused features. - Craft high-quality, player-facing AI behaviors and abilities using behavior trees and visual scripting. - Create quick prototypes to try out and demonstrate new ideas in the game - Collaborate with team members from various disciplines to deliver high-quality experiences to our players - Cooperate with other designers from the AI team to define and promote a cohesive vision for AI in your project - Use playtest feedback to iterate and improve AI features - Create and maintain clear and concise design documentation What we're looking for - Experience shipping multiple AAA titles as a Designer - Experience developing AI for a highly systemic environment - Experience creating behavior trees and using visual scripting - A creative approach that can surprise and amaze players with new ideas and experiences - Talent for empathizing with players and a deep understanding of player motivations. - Team player with good communication skills (verbal and written) EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). Br
Staff Machine Learning Engineer - Computer Vision...
The opportunity We are building the next generation of AI-driven game experiences — generative world models, neural rendering, and multi-modal understanding that turn images, text, and 3D primitives into interactive worlds. As our Staff Machine Learning Engineer, you will be a core technical leader bringing state-of-the-art computer vision and multi-modal models — transformers, diffusion networks, vision-language models (VLMs), and JEPA-style architectures — from research into robust, production-grade systems. This is a deeply hands-on, high-impact role. You will help define the modeling and deployment strategy, drive architectural decisions across the ML stack, and mentor a team of senior and mid-level engineers. Your work will directly shape the quality, capability, and performance of AI features experienced by billions of players — across cloud, server, and on-device targets. What you'll be doing Technical Leadership - Help set the technical vision and roadmap for computer vision and multi-modal AI models, spanning transformers, diffusion models, vision-language models, and JEPA-style generative architectures. - Drive design and implementation of models for image and video understanding, generation, segmentation, detection, and dense prediction, as well as multi-modal reasoning over images, text, and 3D inputs. - Make sound decisions on model architecture, training strategy, data pipelines, and evaluation — balancing quality, capability, latency, and cost across deployment targets. - Own the path from research prototype to production: training, fine-tuning, distillation, export, and serving, with deployment spanning cloud GPUs through to efficient on-device inference where the product requires it. Architecture & Research Translation - Collaborate directly with research scientists to translate novel CV and multi-modal model architectures into deployable, well-engineered implementations. - Design scalable systems for multi-modal inference that process diverse inputs images, - video, text, primitives, and metadata — and produce rich outputs from semantic - predictions to pixel-level generation. - Track and rapidly adopt breakthroughs across the field: vision-language pretraining and - alignment, efficient diffusion (e.g., consistency models, flow matching), efficient attention - e.g., FlashAttention, linear-attention variants), and tokenization/representation learning - for vision. - Where latency or device constraints demand it, apply compression, quantization, pruning, and knowledge distillation, and work with appropriate runtimes (e.g., TensorRT, ONNX Runtime, CoreML, TFLite) to meet performance budgets. - Team & Cross-Functional Leadership - Lead and mentor a team of ML engineers; define engineering best practices, code review standards, and rigorous benchmarking and evaluation methodology. - Partner with research, platform engineers, product managers, and runtime teams to align ML capabilities with product roadmaps and target-platform constraints. - Champion a culture of measurement: define KPIs for model quality, accuracy, latency, memory, and cost, and ensure the team tracks them rigorously. What we're looking for - 6+ years in ML engineering, with significant depth in computer vision and/or multi-modal modeling. - Proven production experience with transformer-based and diffusion-based v
Senior Software Engineer, 3D Systems & AI
The opportunity The team behind Unity’s visionOS support, Play-to-Device, and Record & Playback is growing as we prepare for something even more ambitious: adapting PolySpatial to stream Unity content into other game engines and 3D environments — in-process, cross-process, and over the network. We’re building systems that allow real-time 3D experiences to run, render, and interact in places they weren’t originally authored for, including other major game engines and emerging software platforms. We’re also developing new ways to encode and exchange interactive 3D content: protocols designed not only for rendering and interchange, but also for understanding, transformation, generation, and orchestration by future AI-driven tools and systems. You’ll help invent the protocols, media formats, and runtime systems that bring interactive 3D content to novel platforms. Working at the intersection of core engine technology, graphics, networking, distributed systems, media, and AI, you’ll help define the interchange layer for the next generation of interconnected games and intelligent 3D ecosystems. What you'll be doing - Help define runtime protocols, formats, and execution models to encode, compress, and replay interactive 3D content between engines and AI models. - Own and evolve critical subsytems across the engine stack, from low-level C++ runtime code to high-level C# APIs across editor, build, simulation, streaming, and playback. - Build systems to capture, serialize, stream, and synchronize scene state, components, assets, user interactions, and rendering data under tight bandwidth, latency, determinism, and memory constraints. - Design interfaces and feedback loops that allow AI systems to inspect engine state, invoke engine capabilities, and validate outcomes. What we're looking for - Core Engine Experience : Experience building or fundamentally extending game engine cores, middleware, or foundational systems (e.g. serialization, build pipelines, memory subsystems). - AI Systems Fluency : Practical experience integrating AI/ML into production software, including areas such as model training, data collection, evaluation loops, agents, tool use, or model-context protocols. - Architecture & Execution : Ability to design modular, testable systems - then implement, profile, debug, and ship them end-to-end. - High-Performance Coding : Strong C++ and C# skills, with practical understanding of CPU caches, memory layout, allocation patterns, branch behavior, profiling, and performance tradeoffs in real-time systems. - Engine-Wide Breadth : Hands-on experience across multiple engine domains — such as physics, animation, input, rendering, assets, or build systems — and how they interact. You might also have - Experience building infrastructure for training data generation, synthetic data, simulation environments, evaluation harnesses, reinforcement learning, or agentic workflows. - Familiarity with 3D data formats and spatial content pipelines, such as USD, glTF, procedural generation, or semantic scene representations. - Experience with MCP-style tool interfaces, LLM agents, multimodal models, inference pipelines, embeddings, vector search, or AI systems that inspect and act on
Senior Machine Learning Engineer, On-Device & Mobi...
The opportunity We are building the next generation of AI-driven game experiences, running generative models on-device, right where the players are — on phones, tablets, laptops, and desktops. Our games run inside a modern, browser-native runtime (built on technologies such as WebGPU and WebNN), so the models that power these experiences must be deployed and accelerated entirely within that runtime. As a Senior Machine Learning Engineer for On-Device & Mobile AI, you will take state-of-the-art multi-modal models — transformers, diffusion networks, and vision-language models (VLMs) — and make them run fast, small, and reliably on mobile and constrained hardware. This is a deeply hands-on role. You will own the optimization and deployment of significant parts of the inference stack — from a trained checkpoint leaving research, through export, quantization, and kernel-level tuning, to a shipped feature running inside the engine at interactive frame rates within a fixed memory and power budget. Your work directly shapes the latency, quality, memory footprint, and battery profile of AI features experienced by billions of players. This role is for an engineer who is energized by the gap between a research model and a shipping, on-device product. If you enjoy profilers, frame captures, op-fusion, and shaving milliseconds and megabytes, this is your role. What you'll be doing - Inference & On-Device Optimization - Own the optimization pipeline for the models you ship: model export, graph transformation, operator fusion, memory-layout planning, and hardware-specific tuning across NPU, mobile GPU, and desktop/laptop GPU. - Apply quantization (INT4/INT8/FP16), weight sharing, structured/unstructured pruning, and knowledge distillation to hit hard latency, memory, and power budgets — and validate them against quality bars. - Do low-level performance work: write and tune WebGPU compute shaders (WGSL) and, where relevant, native kernels (Metal, Vulkan/SPIR-V compute, CUDA); profile with browser and platform tools (Chrome/Dawn GPU traces, PIX, Instruments/Metal System Trace, - Snapdragon Profiler, Nsight, RenderDoc), and eliminate bottlenecks at the op and memory-bandwidth level. - Apply efficiency techniques — dynamic resolution, token reduction, cross-frame caching/reuse, reduced-step diffusion samplers — as engineering levers to meet budgets on target SKUs. - Runtime & Systems Integration - Work with WebGPU-targeted inference runtimes (ONNX Runtime Web, Transformers.js, WebLLM, TensorFlow.js) alongside native options (CoreML, ONNX Runtime, TFLite, ExecuTorch), and extend or build glue code where off-the-shelf options fall short of our diffusion and VLM workloads. - Build parts of the integration between the ML runtime and the game engine: real-time scheduling, memory pooling, zero-copy buffer sharing between the inference and render paths, and frame-budget management alongside the renderer. - Build supporting engineering for your components: model packaging and asset pipelines, on-device fallbacks and SKU-aware capability tiers, crash/quality telemetry, and automated on-device benchmarking in CI. - Research Productionization - Partner with research scientists to turn novel CV and multi-modal architectures into implementations that are deployable, debuggable, and fast on device. - Provide a feedback loop into research: surface hardware const
Senior Machine Learning Developer, Advertiser Grow...
The opportunity At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact. In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem. What you'll be doing - Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability. - Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats. - Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health. - High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation. - Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic. What we're looking for - Advanced degree in computer science or relevant engineering-related field or equivalent experience. - 6+ years of software engineering experience, including 3+ years working on ads delivery systems. - Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala. - Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms. - Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context. - A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount. - Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation. - Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback. - A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineer
Senior AI Designer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. DESIGN What We Do Put your design skills to work at a cutting-edge company that challenges the norm. From character and level design to competitive gameplay and system design, help shape the future of interactive entertainment at Epic. What You'll Do Epic Games is looking for an experienced Senior AI Designer to join our cross-disciplinary development team, where you will own the vision and create innovative features. In this role, you will - Own the design vision for AI-focused features. - Craft high-quality, player-facing AI behaviors and abilities using behavior trees and visual scripting. - Create quick prototypes to try out and demonstrate new ideas in the game - Collaborate with team members from various disciplines to deliver high-quality experiences to our players - Cooperate with other designers from the AI team to define and promote a cohesive vision for AI in your project - Use playtest feedback to iterate and improve AI features - Create and maintain clear and concise design documentation What we're looking for - Experience shipping multiple AAA titles as a Designer - Experience developing AI for a highly systemic environment - Experience creating behavior trees and using visual scripting - A creative approach that can surprise and amaze players with new ideas and experiences - Talent for empathizing with players and a deep understanding of player motivations. - Team player with good communication skills (verbal and written) EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of
Product Manager, Public Sector GenAI Test & Evalua...
At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. Role Overview The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infrastructure required to continuously measure, improve, and prove the superiority and sustained performance of our agentic applications. Traversing multiple engineering organizations across Scale, you will identify bottlenecks, distill technical friction into actionable plans, and drive execution. You will work across Scale’s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases. Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders. Minimum Qualifications (Quantifiable) - Engineering Depth: 3+ years of experience in software engineering, systems architecture, or highly technical program management. You must be able to read code, understand system architecture, and participate in technical design reviews alongside engineering teams. - Evaluation Systems Expertise: Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications. - Problem Distillation: Demonstrated experience taking a vaguely defined problem (e.g., "our evaluation cycles are too slow") and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window. - Ambiguity Management: Proven track record of taking a project from "stalled/undefined" to "shipped" in a high-pressure environment. You can point to at least two instances where you inherited a failing project and saw it through to production. - Cross-Functional Leadership: Led multiple projects that required direct alignment between at least three distinct engineering organizations (e.g., Infrastructure, ML Research, and Product). - Operational Execution: Experience using technical project management frameworks (e.g., Linear) to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders. Preferred Qualifications (Nice to Haves) - Security Clearance: Active Secret, Top Secret, or TS/SCI clearance. - GenAI Implementation: Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows. - Technical Rigor: Advanced degree in Computer Science, Engineering, or a related field. - Public Sector Expertise: 2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments. Compensation packages at Scale for eligible roles include base sa
Software Engineer, Agent
ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Machine Learning Engineer, Platform
Machine Learning Engineer, Platform London, UK Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and agentic workflows. We are looking for a Machine Learning Engineer to join our team and build the retrieval and knowledge representation systems at the heart of the platform. You will own ML components end to end — from research and prototyping through to production deployment — working across knowledge bases, vector stores, RAG pipelines, and context engines to power agents that deliver real impact for enterprise customers. You will: - Own large areas of platform end to end, driving components from design through to production deployment. - Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. - Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. - Build and maintain integrations between retrieval and ML components and diverse enterprise data sources, vector databases, APIs, and services. - Develop context retrieval systems that balance recall, precision, latency, and cost. - Build evaluation frameworks, datasets, and metrics to measure retrieval quality, context relevance, and end to end agent performance. - Build reliable backend services and data pipelines that support ML and LLM components in production. - Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of the platform. Ideally you'd have: - 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases. - Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience.. - A deep, hands-on understanding of retrieval systems, RAG, embeddings, vector indexing, and knowledge representation. - Experience with knowledge representation, semantic search, or agentic systems. - Proven proficiency in Python, including writing production-quality, testable, and maintainable code. - Experience scaling or shipping products at high-growth startups. - The ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints. - Strong communication skills and comfort working in customer-facing or cross-functional environments. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Software Engineer, Agent - Insurance
ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span insurers that provide protection for life’s most challenging moments, systemically important banks, neobanks committed to building more delightful banking software, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our Financial Services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle—the hours after a family discovers their home has been damaged by a wildfire and begins filing a claim; the difficult conversation following the loss of a loved one as beneficiaries navigate a life insurance claim; the frustration of dropping a phone, shattering the screen, and trying to quickly understand coverage and arrange for a repair or replacement. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large insurance companies that consistently outperform human agents in filing claims quickly and consistently. - Develop and refine AI agents capable of navigating complex customer interactions, like generating a quote for insuring a modified 1960s Corvette. - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems. - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments. - A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship. - Comfort working directly with customers to understand their needs and solve real-world problems. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Genuine interest in Financial Services and improving the end customer experience. Experience in insurance technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (coverage advice, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are fur
Software Engineer, Agent - Financial Services
ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems. - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments. - A builder and tinkerer's mindset with high agency - you find creative ways to overcome obstacles and ship. - Comfort working directly with customers to understand their needs and solve real-world problems. - Excellent communication skills—clear, direct, and persuasive across technical and non-technical audiences. - Genuine interest in Financial Services and improving the end customer experience. Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, an
Data Scientist
We're looking for a Data Scientist who thrives on solving complex problems and uncovering insights that drive top-performing games. In this role, you'll collaborate closely with the Marketing, Development, and Product teams to analyze player behaviour, optimize game performance, and turn data into actionable strategies. Your expertise in statistical analysis, machine learning, and data visualization will play a key role in shaping our games and enhancing player experiences. ABOUT THIS ROLE: - Bachelor’s degree in a relevant field from a recognized university. - 2+ years of experience in data science, preferably in gaming or tech. - Expertise in statistical analysis, machine learning, and data visualization. - Proficiency in Python - Strong analytical mindset with a sharp eye for detail and problem-solving. - Excellent communication skills, capable of translating complex data into actionable insights for non-technical teams. - Passion for gaming, with a deep understanding of player behaviour and game mechanics. YOU COULD BE A GREAT FIT IF: - Extract insights from large datasets to identify trends and opportunities. - Develop and implement data models and machine learning algorithms to enhance game performance and player experience. - Collaborate cross-functionally to integrate data-driven strategies into game development and decision-making. - Design and execute A/B tests to measure the impact of new features and optimizations. - Monitor and refine in-game metrics to maximize player satisfaction and retention. - Translate data into action, providing strategic recommendations to improve engagement and monetization. BONUS POINT IF: - You’ve played Tasty Match: Cook and Puzzle and explored the game. If not, now’s a great time to start! - You’re curious about the gaming industry and eager to learn more. - You enjoy working in fast-moving, dynamic environments. BENEFITS: - Be part of a top-tier team, learn from the best, and create games players love. - Competitive compensation. - Health insurance with unlimited coverage. - A beautiful, centrally located office in the heart of Istanbul. - Opportunities to attend global conferences and stay connected with the industry - Relocation support to make your move hassle-free if needed. Follow Bigger Games on Linkedin
Computer Vision Engineer
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis. You Will Be Responsible For - Developing computer vision algorithms to detect key moments within popular online games - Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them - Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games - Specifying exact requirements for training data sets, and working with analysts to create the data sets - Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment - Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You Should Have The Following Qualities - Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis - Experience using Python, TensorFlow, OpenCV and other computer vision tools - Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc. - Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others - Familiarity with AWS environments - Excited about working in a fast-changing startup environment - Willingness to learn rapidly on the job, try different things, and deliver results - Ideally a gamer or someone interested in watching gaming content online Skills Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets. Salary: Will be commensurate with experience. Who Should Apply If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply. Skills:- Computer Vision, Artificial Intelligence (AI), TensorFlow, Python, PyTorch, Neural networks and yolo
Marketing Science
We are a new startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we’re doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. About the role: We are looking for a Marketing Science (Business Analyst) to join our team and drive impactful analysis for our customers. This individual will play a critical role in addressing complex business questions, delivering actionable insights, and guiding our clients in optimizing their marketing strategies. If you are passionate about measurement and analytics, self-reliant, and motivated to make a meaningful impact, we want to hear from you! Role Description: As a Business Analyst your role will be: - Collaborate with clients to uncover insights about their marketing incrementality performance and paid-channel efficiency. - Deliver benchmarking analyses to provide clients with context on how they perform relative to industry standards and peers. - Design and execute analyses to answer challenging business questions, including those that are ambiguous or unstructured. - Proactively identify opportunities to help clients optimize their performance using INCRMNTAL's measurement solutions. - Leverage statistical methods and advanced analytics to uncover trends and provide actionable recommendations. - Work directly with large datasets using SQL to extract, analyze, and interpret data. - Collaborate with Product and Engineering teams to enhance the analytics capabilities of the platform, ensuring customer needs are met. - Create and maintain visually compelling reports and dashboards to communicate findings effectively. - Partner closely with Product, Customer Success, and Sales teams to understand customer challenges and drive the adoption of data-driven solutions. - Provide feedback to the Product team to improve features and usability based on customer insights and hands-on experience. - Act as a subject matter expert on marketing measurement and incrementality, sharing insights with customers and internal teams. - Stay ahead of industry trends, emerging measurement methodologies, and market developments. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: - 4+ years in marketing science and/or marketing analytics roles, preferably within the adtech / marketing tech ecosystem or a measurement-focused company. - Strong proficiency in SQL and experience with cloud-based analytics platforms (e.g., Amazon Athena, Google BigQuery). - Familiarity with statistical tools (e.g., R, Python) and data visualization platforms (e.g., Tableau, Looker). - Self-motivated and independent, with a proven ability to manage multiple projects and deliver high-quality results. - Exceptional communication and storytelling skills, capable of presenting complex data insights to both technical and non-technical audiences. Bonus Point: Understanding of incrementality measurement and marketing efficiency methodologies. Note : The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: - We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. - You will be granted share options as an early employee. - We are passionate, solution-oriented people who are accountable to our actions. - We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
Founding AI Engineer
Uplane Uplane Join the Revolution in AI Marketing Join the Revolution in AI Marketing Companies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving system. It creates ads, builds matching landing pages, allocates budgets across different channels and more, all in real time. uplane.com HQ: san fran Size: 2-10 Industry: SaaS Founded: 2025
Sales Engineer
We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, and developed our innovative product while working with some of THE-MOST sophisticated advertisers. We work with globally known companies as our customers and get a constant flow of interest from the press, customers, and partners. About the role: INCRMNTAL sells a sophisticated analytics platform that combines marketing science, causal inference, and machine learning. Prospects often ask complex questions about measurement methodology, modeling assumptions, validation processes, and how results should be interpreted. The Sales Engineer will play a critical role in the sales process by translating the technical depth of the platform into clear, compelling explanations for marketing leaders, analysts, and data teams. You will partner closely with the sales team during the sales cycle, support product demonstrations, answer technical questions from prospects, and help build trust in the methodology behind the platform. This role sits at the intersection of sales, product, and data science . As a Sales Engineer your role will be: - Join sales calls and product demonstrations to explain the platform’s methodology and analytical approach to help overcome technical objections - Answer technical and methodological questions from prospects during the sales process. - Help prospects understand how INCRMNTAL differs from traditional attribution, MMM, or experimentation approaches. - Support the sales team in moving deals forward by building trust in the platform’s measurement framework. - Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts). - Translate complex modeling concepts into intuitive explanations that marketers can understand. - Customize demo narratives based on the prospect’s marketing stack and challenges. - Support proof-of-concept discussions and pilot programs - Explain the underlying modeling logic and how the system measures incrementality. - Walk prospects through validation methods, case studies, and experimental comparisons used by customers. - Help prospects interpret platform outputs and understand how to operationalize insights. - Work closely with product and data science teams to stay current on platform capabilities. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: - 4+ years in a Sales Engineer, Solutions Consultant, Data Consultant, or Marketing Analytics role. - Experience working with marketing data, attribution models, MMM, or growth analytics is a major advantage. - Experience presenting technical concepts to non-technical audiences. - Strong analytical thinking and ability to understand statistical models. - Excellent communication and storytelling skills. - Ability to translate complex ideas into simple explanations. - Comfortable presenting to senior marketing leaders. - Familiarity with marketing measurement methodologies such as: - Incrementality testing - Marketing Mix Modeling - Attribution models - Experience with tools such as SQL, Python, or analytics platforms. Please Note: The requirements and description above represent the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
Customer Integration Engineer
About Us We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, and developed our innovative product while working with some of THE-MOST sophisticated advertisers. We work with globally known companies as our customers and get a constant flow of interest from the press, customers, and partners. Role Description INCRMNTAL is looking for a Customer Integration Engineer to own the full integration lifecycle for our clients - from onboarding through to ongoing support - and to help establish and enrich our integration capabilities with media vendors and various platforms. As a Customer Integration Engineer, your role will be: - Own the full integration life cycle from definition to deployment, serving as the primary point of contact for clients during the integration phase. - Client facing, responsible for orchestrating the integration process of every new client - translating customers’ business objectives into technical requirements and executions. - Serve as a resource for clients, guiding them in navigating complex marketing to ensure a successful and speedy data and analytics integration. - Monitor, work to improve, and ensure that clients’ integration and data pipeline are functioning well. - Collaborate with clients to understand their technical needs and provide tailored solutions. - Troubleshoot, scope, and debug integration issues — handling complex technical problems through collaboration across teams. - Monitor changes on partner platforms (e.g., new API versions, breaking changes) and coordinate accordingly. - Gather feedback from clients and internal teams to continuously refine the technical side of the onboarding experience. - Identify and implement tools to facilitate easier integration and onboarding for clients. - Liaise between clients and internal teams to communicate client needs and expectations effectively. - Participate in cross-functional meetings to provide insights and updates on client integration progress. - Create specification documents and improve integration documentation, including platform tours, instructional explanations, and potentially videos. - Initiate and execute automation planning. You will also participate in important decisions around the product and our strategy, and have the opportunity to choose the areas you work on based on what you want or like to do most. We believe in helping each other get the most out of ourselves rather than do what we’re not interested in doing. Key Requirements - 3+ years of experience in a similar role in a SaaS, marketing technology, or adtech company. - 2+ years of hands-on experience as a Technical Engineer, Customer Support Engineer, or Integration Engineer in a mobile/web space. - Incredible written and verbal communication skills for both technical and non-technical audiences. - Great project management skills and ability to communicate effectively with different stakeholder groups across a diverse set of industries, sizes, and experience levels. - Problem solving attitude and analytical thinking; self-motivation and dedication to solving customer problems based on understanding the true pain of the customer and finding data-driven solutions. - Technical savviness, with the ability to understand business cases and requirements to build out technical solutions. - Experience working with SQL queries - Must. - Familiarity with AWS, JSON/YAML, Linux command line interaction. - Experience with Client Server architecture. - Experience working with Python notebooks - Big Plus. - Good Excel skills. - Ability to multitask and prioritize several projects simultaneously. - Curiosity and desire to learn more about the product and the customers you will be working with. - Native-level English speaker. Please Note : The requirements and description above represent the skills and expectations for this role. That said - if you are really interested in the position and believe you only tick some of the key requirements, do apply. Benefits of Joining INCRMNTAL We are a startup with a LOT of supporters and positive attention from investors, press, and customers. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another. Our titles define our roles and responsibilities - they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
Marketing Director
We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, and developed our innovative product while working with some of THE-MOST sophisticated advertisers. We work with globally known companies as our customers and get a constant flow of interest from the press, customers, and partners. About the role: We are looking for a Marketing Director to lead our marketing efforts and build a smart, scalable growth engine for the company. This individual will play a critical role in strengthening our market positioning, driving qualified demand, and helping translate our product capabilities into a clear and compelling narrative for the market. The role requires someone who combines strategic thinking with hands-on execution, and who can work closely with sales, product, and leadership to turn marketing into a measurable growth driver for the business. If you are passionate about marketing innovation, measurement, and building a category-leading brand in a fast-moving industry, we want to hear from you. As a Marketing Director your role will be: - Lead all marketing activities at INCRMNTAL and take ownership of the company’s marketing strategy and execution. - Strengthen INCRMNTAL’s positioning as a leader in marketing measurement and incrementality. - Maintain and protect the company’s brand while ensuring it remains relevant, differentiated, and trusted in the market. - Work closely with the sales team to create a smart inbound and outbound marketing engine that consistently drives qualified opportunities. - Drive marketing performance including MQL and SQL generation, while continuously identifying opportunities to improve funnel performance and unit economics. - Lead SEO, GEO, and AEO initiatives to ensure strong visibility across traditional search engines and AI-driven discovery platforms. - Plan, evaluate, and manage the industry events where INCRMNTAL should participate, sponsor, or speak. - Manage and grow the company’s social channels, with a strong focus on building industry credibility and engagement. - Create and manage marketing automation scenarios that support prospect education and customer engagement at scale. - Produce regular marketing content including articles, reports, case studies, and thought leadership pieces. - Lead co-marketing initiatives with customers, partners, and relevant industry leaders. - Develop marketing partnerships including joint reports, research initiatives, quotes, and collaborative content. - Work closely with Product, Customer Success, and Sales teams to translate customer outcomes and product capabilities into compelling marketing narratives. - Continuously analyze marketing performance and optimize campaigns, channels, and messaging based on data. - Monitor industry trends, competitive activity, and emerging developments in marketing measurement. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: - 8+ years experience in B2B marketing roles, preferably SaaS, adtech, or martech companies. - Proven experience leading demand generation and building an inbound measurable pipeline. - Experience working closely with sales teams to support revenue growth through inbound and outbound initiatives. - Strong understanding of SEO and modern content-driven marketing strategies. - Experience managing marketing automation tools and CRM platforms. - Strong analytical mindset with the ability to measure marketing impact and continuously improve performance. - Excellent communication and storytelling skills, with the ability to translate complex topics into clear messaging. - Self-motivated and independent, with a proven ability to manage multiple projects and deliver high-quality results. Bonus Point: Experience working in marketing measurement, incrementality, attribution, or marketing analytics environments. Please Note : The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
AI Agent Engineer
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Senior Fullstack Engineer - Admin/AI
Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. The Role Title: Senior Fullstack Engineer (Admin & AI Enablement) Team: Admin & AI Enablement Location: Remote / London / Hybrid (TBD) Salary: £90,000 - £110,000 This role will be a key part of building Midnite’s new internal back office platform and shaping how internal tools evolve across the business. You’ll work across the stack to deliver high-quality admin experiences used by teams every day, while also contributing to practical AI-enabled improvements in both internal tooling and engineering workflows. This is a senior individual contributor role with meaningful ownership, particularly across the frontend experience, working closely with Product, Design, and engineering teammates to build scalable systems from the ground up. You Will - Build fullstack features for Midnite’s internal back office platform. - Own features end-to-end across backend APIs and internal UIs. - Write production code across Python backend and modern frontend technologies, primarily Vue + Tailwind. - Work closely with Product and Design to implement high-quality internal experiences. - Design and build APIs as part of fullstack feature delivery. - Contribute to practical AI-enabled features and internal tooling improvements. - Explore ways AI and automation can improve engineering workflows and team efficiency. - Participate in code reviews and maintain a high quality bar across the codebase. - Mentor junior engineers and contribute to raising the technical standard of the team. Requirements The next Midniter: - Brings 5+ years of engineering experience across frontend and backend. - Has strong frontend capability in a modern JavaScript framework such as Vue, React, or Angular. - Has backend development experience in Python or a similar language. - Can build end-to-end features across UI, API, and database layers. - Has worked closely with Product to build good product experiences. - Brings strong ownership and can operate effectively in a fast-moving, ambiguous environment. - Has an interest in AI tooling, automation, and practical experimentation. - Communicates clearly and works well with Product, Design, and engineering teammates. Benefits Winnings - Private health insurance with zero excess, including optical cover and optional dental. - Income protection to protect your earnings and give you peace of mind. - Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. - Flexible working and a fully supported home office setup so you can do your best work from home. - Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. - Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. - Retail discounts and subscription perks across a wide range of brands. - Quarterly team socials to connect, celebrate and have fun together. At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.
Lead Backend Engineer - AI
Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. The Role Title: Lead Backend Engineer (AI & Back Office) Team: AI & Back Office Location: Remote UK This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You’ll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision-making, and efficiency across the company. You’ll combine technical leadership with hands-on engineering, guiding a small team while building production systems that have direct business impact. You Will - Design and build scalable backend systems for Midnite’s internal back office platform. - Lead and mentor a small team of engineers while remaining hands-on in delivery. - Write production code and use AI-assisted development approaches to accelerate execution. - Productionise and deploy AI-powered tools for engineering and business use cases. - Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value. - Collaborate closely with Product to shape requirements, technical solutions, and delivery plans. - Work with internal stakeholders to understand operational pain points and turn them into effective tooling. - Define architecture, engineering standards, and best practices for a new team and platform. Requirements The next Midniter: - Brings 7+ years of backend engineering experience, including time operating at a senior or lead level. - Has experience leading or mentoring engineers in a hands-on technical leadership capacity. - Has built internal platforms, back office systems, or operational tooling. - Has professional experience integrating LLMs or AI APIs into production environments. - Has a solid understanding of databases (PostgreSQL or similar). - Has strong system design instincts across scalable, reliable backend services. - Has a strong proficiency in Python (or another backend language with willingness to learn Python). - Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments. - Brings strong ownership, product thinking, and a bias toward delivery. - Communicates clearly with both technical and non-technical stakeholders. Benefits Winnings - Private health insurance with zero excess, including optical cover and optional dental. - Income protection to protect your earnings and give you peace of mind. - Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years. - Flexible working and a fully supported home office setup so you can do your best work from home. - Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees. - Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want. - Retail discounts and subscription perks across a wide range of brands. - Quarterly team socials to connect, celebrate and have fun together. At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.
AI Engineer
FERASET is a fast-growing AI startup based in Istanbul, building globally successful mobile apps powered by AI. With 30M+ downloads, our products are consistently ranked among the top charts in multiple countries. Backed by a $4.5M seed investment from top-tier global VCs, we’re scaling rapidly and investing in both product and talent. We’re building long-term, deeply creative, and useful AI experiences across design, music, video, photo, and utility categories. If you’re looking to join a fast-moving, product-driven team and create apps loved by millions, you’re in the right place. What You’ll Be Doing - Design, build, and ship AI-powered systems that run reliably in real-world production environments. - Develop and optimize LLM and diffusion-based features, owning the lifecycle from prototype to scalable deployment. - Engineer structured prompt systems and evaluation workflows to systematically improve output quality. - Collaborate with backend and product teams. - Take full ownership of features, from experimentation and iteration to debugging, scaling, and long-term maintenance. What We’re Looking For - At least 2 years of hands-on experience building and shipping AI-powered systems in production. - Excellent Python skills: OOP, performance-oriented design, profiling, optimization, and writing production-grade code. - Hands-on experience with LLM/agent frameworks and SDKs: OpenAI, Google GenAI, Agents SDK, Google ADK, LangChain, etc. - Hands-on experience with the Hugging Face ecosystem: Transformers, Diffusers, Accelerator, PEFT etc. - Familiarity with diffusion and autoregressive architectures and their behavior in real-world production environments. - Solid understanding of prompt engineering and how to systematically improve prompt performance. - Experience building node-based or workflow-driven AI pipelines (ComfyUI, n8n, fal, etc.). - Familiarity with fundamental ML algorithms and data analysis. - Familiarity with serverless architectures for AI inference workloads (service design, autoscaling, cold starts, and cost-performance trade-offs). - Familiarity with Firebase + GCP ecosystems: Firestore, Cloud Functions, and cloud-native production workflows. - Strong backend fundamentals: API design, system architecture patterns, database design, scalability, reliability, and edge-case handling. - Kubernetes experience is a strong plus. - FinOps awareness: understanding cost drivers, usage optimization, and cloud/LLM cost control strategies. - Strong command of English at B2 level or higher, in both written and verbal communication. - High potential, ambitious, sharp mind: You don’t wait for instructions, you make things happen. - Proactive, self-directed, fast, focused, and responsive; comfortable working at a startup-style pace. Why FERASET? We move fast. We care deeply about what we build. And we’re just getting started. Here’s what makes us different: - Impact at Scale - Your work will be used by millions of people across the globe - Ownership from Day 1 - Small team, big responsibility, no micromanagement - Product + AI = Magic - Build the future of creative tools powered by generative AI - Career Acceleration - Learn faster than anywhere else, grow with the company - A-Players Only - Work with the best of the best, like a championship team pushing each other to achieve greatness - Competitive Compensation - We offer highly competitive salaries and real recognition for real work - Commuting Support - Monthly transportation allowance for hybrid/office work - Meal Compensation - Daily meal card for a healthy and satisfying lunch - Private Health Insurance - Premium coverage to keep you safe - Learning Budget - Yearly education support to level up your skills
Senior Data Scientist
Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game. We are pioneering play-for-fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free-to-play alternatives to real money gaming. Fliff is redefining the sports gaming experience by blending the fun of social play with the thrill of real-money competition. What began as a pioneering social sportsbook has evolved into a multi-vertical platform that is the fastest-growing brand in sports gaming. As we continue to expand, we’re building a world-class ecosystem of sports gaming experiences that span social, sweepstakes, and real-money formats, giving every type of fan a way to play, compete, and connect. The Role: We're hiring a Senior Data Scientist to embed within the marketing and growth function. You'll be the analytical backbone of how we acquire, retain, and grow our user base — building the models, dashboards, and analyses that drive smarter spend, sharper targeting, and a deeper understanding of our players. A core part of this role will be measuring the true impact of our marketing and promotional investments: not just short-term lifts, but the long-term effect on player behavior, retention, and lifetime value. This role sits at the intersection of data engineering, modeling, and storytelling. You'll work directly with marketing, product, and finance leaders to turn raw behavioral and campaign data into decisions that move the business — and you'll own a problem end-to-end, from pulling and cleaning the data, to building the model, to presenting the insight to stakeholders. Key Responsibilities: - Build and maintain predictive models that drive marketing strategy, including player LTV, churn risk, CAC payback, and propensity-to-convert models - Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok, affiliates, influencers, etc.), helping the team understand what's actually driving growth - Quantify the causal impact and long-term business value of promotions, bonuses, and lifecycle campaigns, moving beyond surface-level engagement metrics to measure true incremental retention, monetization, and LTV impact - Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact, uplift modeling) to evaluate marketing investments where clean A/B tests aren't possible - Partner with growth marketers to design, run, and read out experiments: A/B tests, geo-tests, holdout studies, and creative tests - Develop and maintain dashboards and self-serve reporting that give marketing leaders real-time visibility into channel performance, cohort behavior, promo ROI, and funnel health - Clean, structure, and validate data across our marketing stack (ad platforms, MMP, internal event data, CRM) and partner with data engineering to improve our data models where needed - Translate complex analyses into clear, actionable recommendations for non-technical stakeholders - Continuously look for opportunities to automate, improve, and scale how the marketing team uses data What We're Looking For: - 5+ years of experience as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming, fintech, or subscription business - Strong SQL skills and comfort working with large, messy behavioral datasets - Hands-on experience building predictive models in Python (LTV, churn, propensity, segmentation, etc.) using libraries like scikit-learn, XGBoost, or similar - Experience evaluating the long-term and incremental impact of marketing and promotional spend: you understand the difference between who responded and who was actually influenced - Working knowledge of causal inference methods (diff-in-diff, synthetic control, CausalImpact, uplift modeling, propensity scoring) and when to apply each - Solid grounding in marketing measurement concepts: attribution (MTA, MMM basics), incrementality, holdouts, cohort analysis, and unit economics (CAC, LTV, payback) - Experience with experimentation: designing tests, sizing them, and reading them out with statistical rigor - Proficiency with at least one BI/visualization tool (Looker, Tableau, Mode, Sigma, etc.) - Strong communication skills: you can explain a model to a marketer and a campaign result to a CFO with equal clarity - A bias toward action: you'd rather ship a useful 80% answer this week than a perfect one next quarter Nice to Have: - Experience with mobile measurement partners (AppsFlyer, Adjust, Singular) and/or paid media APIs - Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbt - Background in gaming, sports betting, fantasy sports, or another high-velocity consumer category - Experience modeling promo and bonus economics in a gaming, fintech, or e-commerce context Benefits: - Competitive compensation package, including base salary, benefits, and equity. The annual salary for this role ranges from $135,000 - $160,000 - Unlimited/Flexible paid time off. - Health benefits, including medical, dental, and vision coverage, as well as generous parental leave. - Employee-sponsored 401(k). Extras: - $500 work-from-home stipend + Equipment & Accessories. - Work Remotely. - Opportunity for professional development in a dynamic, global setting. - A supportive, collaborative, and knowledge-driven workplace. An engaging and challenging role with the freedom to innovate and develop effective solutions. We are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is: Welcoming and Friendly We want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike. Lively and Creative We respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration. Stimulating and Rewarding We know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together. Equal Employment Opportunity Statement Fliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Join Our Team! If you're ready to be part of an exciting, innovative, and dynamic team, apply now to help shape the future of sports gaming with Fliff. IMPORTANT NOTICE: The privacy and security of applicant information is paramount and we take fraud attempts very seriously. Please note that Fliff will never ask for payment or personal financial information during the application process. All of our legitimate job opportunities can be found on our official career site ( https://www.getfliff.com/careers ). Please be cautious of communications and links that come from non-company email addresses (@getfliff.com), social media messaging platforms or unsolicited phone calls.
Customer Success Manager
INCRMNTAL is searching for the best CSM in the world! We are a startup founded by successful serial entrepreneurs with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922). We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. Our approach – always-on incrementality measurement that infers the real impact of advertising without forcing marketers to halt campaigns or set up elaborate tests – has attracted customers, press attention, and a constant flow of interest from investors and large companies alike. INCRMNTAL's innovative model has been acknowledged by the Israel Innovation Authority with a grant - a rare achievement in the marketing field – and has sparked genuine interest within the academic community. And now, the next chapter: INCRMNTAL has recently been acquired by Smartly, an AI-powered creative and media orchestration platform. This isn't just validation of what we've built – it's an acceleration of our mission. Our technology is being woven directly into Smartly's optimization engine, connecting incrementality signals to real-time creative and budget decisions at massive scale. The vision stays the same. The impact just got a lot bigger. Role Description: As a Customer Success Manager your role will be: - Manage a portfolio of accounts for a variety of industry types, sizes and experience levels - Work closely with our customers with the drive to help them get the best value of our platform and unlock the benefits of incremental measurements - Build and execute an account-specific relationship framework inclusive of regularly scheduled status calls, quarterly business reviews, account documentation, reference management, and account planning sessions - Protect existing revenue streams, identify upsell opportunities and risks. - Drive account growth by developing and executing strategic upsell initiatives, expanding our commercial relationships and maximizing client value. - Assess client health and develop strategies to mitigate churn - Establish and maintain relationships with key stakeholders, strategic account planning and promote internal advocacy - Use your understanding of the INCRMNTAL products to identify, escalate, and solve technical problems - Provide technical and business assistance on integration process and onboarding of new customers - Work closely with analytics, sales, product and tech teams for optimizing our customer experience through different parts of the organization - Prepare quarterly business reviews for customers, showing macro trends and insights - Meet net retention and NPS KPIs through data-driven analysis, planning and execution You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: - 3+ years experience in a similar role in a marketing technology, adtech or SaaS company - Executive project management skills and able to communicate effectively with different stakeholder groups across a diverse set of industries, sizes, and experience level - Ability to multitask and prioritize several projects simultaneously - Problem solving attitude and analytical thinking, self motivation and dedication to solving customer problems based on understanding the true pain of the customer, and finding creative and data-driven solutions - Great presentation skills and the ability to communicate messages in a succinct and informative way - Technical savviness, and the ability to understand and educate customers on a technically and analytically sophisticated product, to different levels of audiences - Strong data literacy - comfortable working with Excel/Google Sheets, reading and interpreting datasets, and reviewing and validating data sources to ensure accuracy and surface meaningful insights for customers - Great team player that is able to work with different internal and external stakeholders in order to deliver the best value to our customers - Curiosity and the desire to learn more about the product and the customers you will be working with - Incredible written and verbal communication skills for both technical and non-technical audiences - Native level English speaker and communication skills Bonus Points: - Experience as a marketing media buyer / gaming industry Note: The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are really interested in the position and believe you only tick some of the key requirements - do apply. Benefits of Joining INCRMNTAL: - You're joining a startup with the backing, resources, and reach of a larger company (Smartly.io - a global platform running over 330 billion creative assets a year) , while still being part of a small, focused team where your work has real and immediate impact. - We are passionate, solution-oriented people who are accountable to our actions. - We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
Senior Product Manager
About Us INCRMNTAL is searching for the best Technical Product Manager out there! We are a 5 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” Incrmntal launched in summer of 2020, backed by strategic investors from around the world who believe in what we’re doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. Role Description: As a Technical Product Manager at INCRMNTAL, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production. - Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding. - Partner closely with data scientists from problem framing through experimentation, model validation, and productization, you’ll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact - Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability - Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on - Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user - Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements - Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers - Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error) - Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products - Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap - Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs - Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features - Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes Key Requirements: - Min. 4 years of work experience in a product management role, experience in SaaS, B2B and/or data-heavy / ML-driven products is strongly preferred - Proven track record of shipping products that involve machine learning, statistical modeling, or data pipelines, comfortable being the PM counterpart to a data science team - Technical fluency: able to read and discuss ML/statistical concepts (regression, causal inference, Bayesian methods, time series) with data scientists, and able to reason about trade-offs in model design - Hands-on comfort with SQL and the ability to independently query, explore, and validate data; familiarity with Python (notebooks, basic scripting) is a strong plus - Understanding of data infrastructure concepts, ETL/ELT pipelines, data quality, distributed processing (Spark, Kubernetes, Argo, or similar), enough to collaborate meaningfully with engineering - Strong UX sensibility for data products, experience partnering with designers to turn complex data and model outputs into clear, usable interfaces; comfort working in Figma (reviewing, commenting, and prototyping); a strong eye for data visualization and how to communicate uncertainty, causal results, and KPIs to non-technical users - Experience shaping dashboards and in-product analytics, defining what to surface, how to structure it, and how users will interpret and act on it - Hands-on experience with product integrations and data connectors, understanding how customers bring their data in (APIs, SDKs, MMPs, ad platforms, server-to-server integrations, data warehouses), and how to design onboarding flows that handle authentication, data mapping, validation, and error states - Familiarity with third-party integrations in the ad-tech ecosystem (e.g., Google Ads, Meta, TikTok, AppsFlyer, Adjust, Snowflake, BigQuery) is a big plus - Knowledge of agile development practices (Scrum, Kanban) - Strong analytical skills, conceptual thinking, and a structured work approach - Excellent written and verbal communication, able to translate between DS, engineering, design, and commercial stakeholders - Familiarity with advertising, digital marketing, analytics, attribution, or tracking is a big plus BSc or higher in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Physics, or similar) is a plus Benefits of Joining INCRMNTAL: - We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. - You will be granted share options as an early employee. - We are passionate, solution-oriented people who are accountable to our actions. - We care and respect one another, as we are ALL people, our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.
AI Engineer
AI Engineer
Full-stack ML Engineer
01 Mission - Integrate and serve new models on GPUs — image, video, 3D, audio and text — from open-source weights or external provider APIs, behind one consistent interface. - Build and operate training and fine-tuning pipelines (LoRA, full fine-tunes) so customers can train custom models reliably and cheaply. - Own the processing layer around the models and generated assets — captioning, subtitles, upscaling, reframing, compositing, masking, mesh and texture rendering, etc. - Own GPU economics and reliability: latency budgets, cold starts, cost per generation, and the checkpoints/weights pipeline that ships model files to production. - Go deep in open-source code: read, debug and patch the model libraries and model repos you depend on — transformers, diffusers and friends. Fix issues upstream rather than waiting for a release. - Push past the model layer: tune the compute layer and infrastructure (GPU provisioning, serving, the cloud), open PRs in the cloud API to register and wire up new models, extend the SDKs, and step up on LLM and agent integration. - Bring AI pair-programming into the ML team's daily flow — the prompts, agents and Claude-Code-driven workflows that make model integration faster. 02 Scope of ownership Owns - The model layer end to end: integration, training, serving and the processing pipelines. - GPU economics and reliability: latency, cold starts, cost per generation, and the checkpoints/weights pipeline. - Cross-stack reach: the compute layer and infra, model registration in the cloud API, SDK extensions, and LLM/agent integration. - AI-native ML workflows: the prompts, agents and tooling that make the team faster. Does not own - Frontend surfaces and the web app (Engineering · Front-End) — though you'll test through it and even open issues / PRs there when a model needs it. - Cloud API architecture decisions (Engineering · Cloud) — though you ship model-integration PRs within it. - Product roadmap and prioritization (Product). 03 What we look for - ✓ Strong Python and fluency in the ML ecosystem, with a track record shipping ML in production — you've deployed models on GPUs and owned latency and cost, not just notebooks. - ✓ Hands-on across modalities — image/video diffusion (Flux, Stable Diffusion, Reve, Wan), ideally 3D (Gaussian splatting, mesh/texture), audio or text/LLMs — and able to dive into open-source model code and fix it or its integration: you could debug and open a PR against Transformers or a model repo, not just call the library. - ✓ Deeply AI-native: a daily user of AI coding assistants (Claude Code, Cursor) who ships an integration live in the interview rather than describing one. - ✓ A bias for action across the stack: when a model needs registering in the API or exposing in an SDK, you open the PR. Comfortable stepping up on LLM and agent integration. - ✓ Clear written English; based around Lyon or Paris (or exceptional and willing to travel to a hub). 04 Disqualifiers - × A research-only profile: trains models in notebooks but has never shipped one behind an API with a latency and cost budget. - × Needs clean boundaries: refuses to open a PR in the cloud API or an SDK when that's where the model integration lives. - × Not AI-native in their own work — thinks in tickets and hand-offs rather than agents and prompts, with no integration they can build live. - × Treats GPU cost, cold starts and reliability as someone else's problem. 05 How we hire 2-3 weeks - 01 Intro call 30 min - 02 Product session 60 min - 03 Build live 60-90 min - 04 Written POV Async, 48h - 05 References Parallel - 06 Founder conversation 45 min
AI - Engineer
About Eloelo Eloelo is building the future of live interactive entertainment, where real-time voice, video, and AI come together to create deeply engaging social experiences. We operate at a massive scale and are investing heavily in multimodal AI to redefine how users interact, express, and connect on our platform. Role Overview We're building Voxy — a deeply personalised AI companion that speaks, listens, and feels real. This isn't a ChatGPT wrapper. We train and fine-tune our own models, run our own inference stacks, and obsess over every millisecond of latency and every token of quality. We're looking for an AI Engineer who has gone deep — someone who has read the Attention Is All You Need paper and implemented it, who knows why LoRA works at a mathematical level, and who gets uncomfortable when someone says "just call the OpenAI API." If you've fine-tuned a model, shipped it to production, and then debugged why it degraded three weeks later — we want to talk. What You'll Own LLM Fine-tuning for Companion AI — SFT, RLHF, DPO pipelines on open-source base models (Gemma, LLaMA, Mistral family, etc ) to build Voxy's conversational personality engine Efficient Training — PEFT methods including LoRA, QLoRA, adapter layers; balancing quality vs. compute budget Text-to-Speech & Voice — Fine-tune TTS models (XTTS, Tortoise, StyleTTS2 or similar); work on prosody, emotion, and low-latency streaming voice output Text-to-Image — Fine-tune diffusion models (Stable Diffusion, FLUX) using DreamBooth, LoRA, ControlNet for companion avatar generation Quantisation & Inference — GPTQ, AWQ, GGUF, bitsandbytes; optimise models for GPU and edge targets without killing quality Evaluation Systems — Build robust eval harnesses: automated metrics, human eval pipelines, regression detection, and model behaviour monitoring Data Engineering — Own training data — curation, dedup, quality filtering, formatting. What We're Looking For Must-Haves 3–6 years of experience, with at least 2 years directly in ML/AI model work (not just ML infra or MLOps) Hands-on fine-tuning experience on transformer-based LLMs — not just running training scripts, but understanding why hyperparameters matter Deep understanding of attention mechanisms — multi-head attention, RoPE, GQA, Flash Attention — can reason about tradeoffs, not just use them Practical experience with PEFT: LoRA rank selection, target modules, merging strategies, catastrophic forgetting mitigation Strong grasp of quantisation — INT4/INT8, calibration, quality-compute tradeoffs across GPTQ/AWQ/GGUF Experience with model evaluation — BLEU/ROUGE are a floor, not a ceiling; you've built task-specific evals Data-first mindset — can write complex SQL, has built data pipelines for training, understands data quality deeply Strong DSA fundamentals — can pass a coding round at a top product company; writes efficient, production-quality Python Good to Have Prior work on voice models — TTS fine-tuning, voice cloning, vocoder pipelines (HiFi-GAN, BigVGAN), streaming inference Experience with diffusion models — training dynamics, classifier-free guidance, LoRA for personalisation Familiarity with multi-modal architectures — how vision encoders interface with LLMs (LLaVA, Idefics, etc.) Contributed to open-source ML projects or published papers/technical blogs with real traction Experience with distributed training — DDP, FSDP, DeepSpeed ZeRO stages Proven Track Record — This Is Non-Negotiable You must be able to show at least one of the following: A fine-tuned model you shipped to production with measurable impact (latency, quality, cost) An open-source project, HuggingFace model card, or technical writeup that demonstrates depth — not just a notebook A prior role where you owned an AI model end-to-end, from data to deployment Research/academic work in NLP, speech, or generative models with real results We will ask you to walk through your work in detail during interviews. Vague answers don't pass here. Tech Stack, You'll Work With PyTorch · HuggingFace Transformers / PEFT / Datasets · vLLM / TGI · bitsandbytes · Axolotl / LLaMA-Factory · Weights & Biases · Python · SQL / Athena · CUDA (basic understanding) · GCP / AWS Why Join Eloelo Work on a real model stack — not prompt engineering on top of GPT-4 Direct impact on millions of users in a live product Small, high-ownership team — your decisions ship Competitive compensation + ESOPs
AI/ML Engineer ( Story TV )
About Eloelo Eloelo is building the future of live interactive entertainment, where real-time voice, video, and AI come together to create deeply engaging social experiences. Beyond live streaming, Eloelo is evolving into a platform for micro drama, micro learning, and narrative-driven content, enabling creators to tell short, high-impact stories and deliver bite-sized learning in interactive formats. Operating at massive scale, we are investing heavily in multimodal AI to redefine how users interact, express, learn, and connect in real time. Role Overview We are looking for an AI Engineer with strong hands-on experience in LLM fine-tuning, speech recognition, and voice-to-voice systems. This is a research-driven yet production-focused role, where you’ll experiment with cutting-edge models and take them all the way to scalable, real-world deployment. You will help shape Eloelo’s next-generation AI stack, working on systems that power real-time voice interactions at a global scale. What You Will Do Research, fine-tune, and deploy Large Language Models (LLMs) for conversational and interactive use cases Build and improve speech-to-text (ASR) and text-to-speech (TTS) systems Develop voice-to-voice pipelines with low latency and high reliability Experiment with multimodal AI systems combining voice, text, and context Design evaluation frameworks for model quality, latency, and user experience Optimise models for real-time inference at scale Work closely with backend, infra, and product teams to ship AI features into production Stay up-to-date with the latest research and translate it into practical applications Required Skills & Experience 4–6 years of hands-on experience in AI / ML engineering or applied research Strong experience with LLMs (fine-tuning, prompt engineering, RAG, inference optimisation) Hands-on experience with speech technologies: Automatic Speech Recognition (ASR) Text-to-Speech (TTS) Voice-to-Voice pipelines Strong programming skills in Python Experience with deep learning frameworks such as PyTorch / TensorFlow Solid understanding of neural networks, transformers, and sequence models Experience deploying models into production systems Familiarity with cloud infrastructure (AWS / GCP) Strong problem-solving mindset and experimental approach Good to Have Experience with real-time / low-latency systems Exposure to multilingual speech models Experience working with streaming audio pipelines Familiarity with MLOps (model versioning, monitoring, CI/CD) Contributions to research papers, open-source projects, or blogs Experience in consumer-scale or real-time platforms Why Join Eloelo Work on cutting-edge voice and multimodal AI problems High ownership in defining AI architecture and research direction Opportunity to ship research into real user-facing products Collaborate with a highly driven, curious, and fast-moving team Build AI systems that operate at a global scale
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