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Product Operations Manager, Feedback Loops
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 We're hiring a Product Operations Manager — Feedback Loops to own and continuously improve how customer signal flows into product and research decisions at Anthropic. This is a horizontal, org-wide role — you won't be embedded in a single product team, you'll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into. Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai , Claude Code). Customer signal arrives from everywhere — field conversations, support interactions, early access programs, in-product telemetry — and the opportunity is to make that signal a first-class, structured input to every product and research decision. This role will build the system that makes customer voice as easy to act on as any other data source. You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most. You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator. Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next. Key Responsibilities You'll own the operating system for customer feedback across all of Anthropic — one shared platform, not a collection of per-team processes. Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap. You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it. Feedback Intake & System of Record - Own the single, org-wide pipeline that captures customer feedback from every channel — field teams, support, early access programs, in-product signals — into one structured system of record that serves every product surface. - Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it. AI-Enabled Synthesis & Triage - Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues — doing the first-pass work so humans focus on verification and judgment. - Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time. - Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve. Ro
Forward Deployed Product Manager, Public Sector
Scale is accelerating the development of AI across the world's most important organizations, including the U.S. Department of War (DoW), its constituent services, and the broader U.S. National Security industry. The Product Manager, Public Sector will lead Scale's product efforts across two connected focus areas — military planning and real-time AI and Alerting (LUX) — shaping real production outcomes and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. This PM owns product outcomes for a cross-cutting portfolio of AI and data capabilities: earning deep trust with senior military, civilian, and mission stakeholders, driving deployments to production inside classified and operationally constrained environments, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to Scale's platform team. The best candidates have shipped AI or real-time data products into defense or other large, security-constrained organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do - Own product outcomes across Scale's military planning portfolio and/or its highest-impact national security accounts for LUX, spanning multiple DoW and National Security stakeholders and use cases. You are the accountable PM for product delivery and customer value. - Translate operational reality into high-signal product input for engineering and platform teams — specific, evidence-backed product perspective with tradeoffs articulated, not requirements docs. This includes military planning workflows (e.g., the Joint Planning Process) and modeling/simulation requirements (e.g., AFSIM), as well as real customer workflows, latency/throughput constraints, and mission priorities for LUX. - Build trusted advisory relationships with senior military leaders (flag/general officer and senior civilian equivalents), National Security customer stakeholders, and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. - Drive deployments from contract to production inside classified and operationally constrained environments — whether that means military planning workflows or LUX's low-latency, high-throughput, mission-critical data systems. You know what "production-ready" means inside DoW, and you close the gap. - Distinguish where the product is the constraint from where execution, integration, policy, or change management is the constraint. Drive each type of blocker to resolution through the right channel. - Shape a cross-cutting set of solutions spanning multiple stakeholders, echelons, and use cases, rather than owning a single point deployment. - Partner closely with Forward Deployed Engineering (FDE) teams and Platform Capability teams so the account runs as a coordinated team, not a set of parallel workstreams. - Identify and develop expansion opportunities grounded in demonstrated customer value. - Represent customer reality to the platform and leadership with enough credibility that it changes decisions. - Balance competing requirements across CCMDs and service components that must collaborate despite differing needs — distinct from building for a single customer. - Travel as required to customer sites, including classified facilities. What We're Looking For Core Competencies: - Enterprise deployment ownership : has driven AI/ML or
Product Manager, Gen AI
Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side , our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side , we work with a global network of 500,000+ skilled contributors across 100+ countries who perform the complex annotation, evaluation, and data-generation tasks that fuel AI progress. Product Managers at Scale sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale. We are hiring Product Managers across multiple teams within our GenAI organization. These roles span both demand-side products (the tools and platforms our customers interact with) and supply-side products (the systems that power our contributor ecosystem). Each role offers the opportunity to work on high-impact, technically complex problems at the frontier of AI — with dedicated engineering, design, and data science teams. About the Role - Scale’s GenAI platform is how the world’s leading AI companies — from frontier model labs to Fortune 500 enterprises — create the training data that makes their models best-in-class. As a PM here, you are building the systems that directly shape AI model quality. - These roles are deeply cross-functional. You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable. - Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end — from strategy to execution to instrumentation. - Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on. Example Product Management Openings: Task UX (Demand Side) — Own the end-to-end tasking product. You will define how tasks are designed, how contributors interact with multi-turn chat interfaces, and how in-task quality is measured and enforced across diverse conversational modalities. This is a critical surface area for training the next generation of models. Multi-Dimensional Quality (Demand Side) — Own Scale’s MDQ measurement framework, the CoPilot assisted-annotation experience, and our data pipeline connectivity layer. You will drive the core data quality infrastructure that customers depend on — defining how quality is decomposed, measured, and surfaced, while building AI-assisted tooling that helps contributors produce higher-quality outputs faster. Pay & Incentives (Supply Side) — This PM owns the payment and incentive systems that serve Scale’s global contributor base. You will ensure 500,000+ contributors across 100+ countries are paid accurately and on time, set pay rates methodically by skill and geography, and design incentive structures that balance cost efficiency, data quality, and contributor satisfaction. This role sits at the intersection of marketplace economics, global payments
Product Manager, Safeguards (Child Safety)
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 Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities: - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations.</li&
Head of Product, AI
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION Virtuos is building an enterprise-wide agentic AI platform to transform how we deliver AAA game co-development for the world's top publishers. We are looking for a Head of Product to own the platform's roadmap, features, and prioritization, and to bring a sharp commercial and user lens to a strong technical foundation. You will lead a small team of product managers as the AI organization scales. WHAT WE OFFER - A senior leadership role at one of the fastest-growing companies in the global games industry - Direct line to the Chief AI Officer, who brings deep experience building cutting-edge agentic systems in enterprise - The chance to shape the AI strategy for a global studio network serving most of the top AAA publishers Please note that shortlisted candidates can expect to hear from us from the second week of June onwards. We appreciate your patience and understanding. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Responsibilities - Own the product roadmap for the agentic AI platform and the agents built on top of it - Translate user needs and business priorities into clear product requirements - Partner closely with engineering and ML leadership to ensure we build the right things, not just things right - Build and lead a team of 2-3 product managers as the organisation scales - Work hand in hand with transformation and revenue excellence leads to drive adoption and value Qualifications - 4-5+ years in product management, with proven experience leading product functions on platforms or technical products - Some technical background (engineering, ML, or data) - enough to engage credibly with technical teams - Strong commercial instincts and a user-centric mindset - Comfortable operating in fast-moving, ambiguous environments - Bonus: exposure to AI / ML products About us Founded in 2004, Virtuos is one of the largest independent video game development companies. We are headquartered in Singapore with offices in Asia, Europe, and North America. Specializing in full-cycle game development and art production, we have delivered high-quality content for more than 1,500 console, PC, and mobile games. Our clients include 23 of the top 25 gaming companies worldwide. About Our Team Virtuos first set foot in Singapore in 2018, establishing our new head office at the One-North technology park located just a few minutes away from the city center. Virtuos Singapore is home to several skilled executives and engineers who suppo
Senior Product Manager (R&D – AI Tools)
PLAY, GROW and WIN To be a part of Virtuos means to be a creator. At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication. At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together. ABOUT THE POSITION We are seeking an experienced Senior Product Manager to lead the vision, strategy, and execution of data analytics platforms, telemetry, backend ML services, and AI services governance across R&D. This role sits at the intersection of data, platform engineering and applied AI. You will define how data and telemetry power insights, how ML capabilities are delivered at scale through an internal AI services gateway platform, and how AI services are governed through transparent usage tracking and chargeback models. You will collaborate closely with R&D engineering, and product owners across game engineering, art, production, and G&A teams to drive data-driven decision-making, scalable ML adoption, and cost accountability across all AI initiatives. Responsibilities - Define and own the product vision, roadmap, and strategy for telemetry and observability services: data analytics and reporting platforms, model lifecycle and serving capabilities) as well as AI usage tracking. - Align product direction with R&D strategic goals, including scalability, adoption, cost efficiency, and governance. - Own the end-to-end internal AI services gateway platform, including model onboarding, deployment, and serving capabilities, standardized APIs and services for ML/AI consumption and integration with AI tools, agents, and pipelines. - Define platform capabilities to support model experimentation and iteration, production-grade inference services, monitoring, versioning, and lifecycle management. - Drive reuse and standardization across teams to avoid fragmented ML implementations. - Partner with ML engineers and platform teams to ensure reliable, scalable, and secure ML services. - Design and evolve end-to-end telemetry architecture, ensure telemetry supports: ML model usage tracking, AI tool adoption and performance monitoring and cost attribution. - Establish consistent telemetry standards across all AI and ML services. - Define key metrics, dashboards, and reporting frameworks to measure: AI and ML service adoption and usage, model performance and impact, cost vs. value (ROI). - Translate data into actionable insights for product and leadership decisions. - Work closely with R&D engineers (platform, backend, data, ML), IT and Product owners across business domains translate business needs into clear product requirements and technical specifications. - Own the end-to-end product lifecycle: discovery, prioritization, development, rollout, and iteration. - Maintain and prioritize backlog based on impact, feasibility, and strategic alignment. - Ensure platforms are production-grade, reliable, and scalable. - Establish best practices for: ML lifecycle governance (models, datasets, deployments), telemetry and instrumentation standards and AI/ML usage reporting. Qualifications <li
AI infrastructure System Engineer Bangalore
AI Infrastructure Systems Engineer Build the infrastructure powering the next generation of AI. At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. What You’ll Build - Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. - Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. - Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. - Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. - Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. - Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. - Continuously improve deployment velocity, reliability, and operational efficiency through automation. - Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. What We’re Looking For - 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. - Strong software engineering skills in Python, Go, or Rust . - Experience building platforms, automation systems, or developer infrastructure. - Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. - Strong systems thinking with the ability to understand problems across hardware and software. - A passion for solving complex infrastructure challenges through software. - An automation-first mindset —if a task is repeated, your instinct is to build a system to eliminate it. Bonus Experience - GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch - InfiniBand or RoCE networking - Bare-metal provisioning and lifecycle management - Large-scale AI training or inference clusters - Hardware health monitoring and predictive failure detection - Distributed storage systems - AI agents and autonomous infrastructure operations You’ll Thrive Here If You - Love building systems that replace repetitive operational work. - Think of infrastructure as a software engineering problem. - Enjoy solving hard problems with no existing playbook. - Care deeply about performance, reliability, and scale. - Want to build technology that powers frontier AI models. Our mission is simple: build AI infrastructure that largely runs itself—where intelligent systems deploy, monitor, diagnose, optimize, and heal GPU fleets at massive scale. Every system you build will directly improve the speed, efficiency, and reliability of one of the world’s most advanced AI compute platforms. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Research Engineer, Post-Training Inference
About the role The Model Shaping team at Together AI works on products and research focused on tailoring open foundation models to downstream applications. We build services that enable machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad range of ideas across machine learning, natural language processing, and ML systems. As a Research Engineer within Model Shaping, you will develop a platform that enables users to customize open-source models with their own data. Working across the training and inference stacks, you will build and improve our Fine-Tuning, Reinforcement Learning, and Evaluation services – from ensuring a seamless path from post-training to production serving, to optimizing the inference engine for RL training workloads. You will collaborate closely with our product, research, and engineering teams to keep the API reliable, performant, and well integrated into the company's technical infrastructure. Above all, you will help build the foundational layer of the open-source AI ecosystem, enabling developers around the world to efficiently create high-quality models tailored to their specific applications. Responsibilities - Design and build Together’s systems for customizing open-source models - Build integrations between the Model Shaping and Inference platforms to ensure a seamless path from post-training to serving production workloads - Add features to inference engines for large-scale post-training experiments, including optimizations for RL workloads - Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform Requirements - Have 2+ years of experience building and deploying machine learning-based services in a production environment - Have hands-on experience with modern inference engines, such as SGLang, vLLM, and TensorRT-LLM - Are familiar with the latest methods for fine-tuning LLMs and other AI models - Have a strong software engineering background in Python or Go - Stay up to date with the latest advances and trends in the machine learning community Experience in any of the following will make you stand out - Serving low-precision (FP4/FP8) models, multiple LoRA adapters within one model instance (Multi-LoRA), or models distributed across several GPU nodes - Optimizing the performance of RL training workloads - Developing CUDA/Triton/CuTE DSL kernels for inference - Developing large-scale and high-load production systems - Maintaining or contributing to open-source ML projects - Managing machine learning workloads on Kubernetes clusters About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, ATLAS, RedPajama, and Mamba. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits. The US base salary range for this full-time position is $200,000 - $290,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
[Junior / Senior / Staff] Software Engineer, Infer...
About the Role We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities - Build the provisioning state machine: design and implement the software that models the full lifecycle of a physical host from discovery, inference bring-up to GPU driver/CUDA stack, health validation, and decommission/RMA — as explicit, versioned states and transitions. - Build the self-service API: design declarative APIs and a control plane so the inference team can request, scale, and tear down inference clusters with one API call — no ticket, no human in the loop. - Automate self-healing: detect degraded or failed nodes, drain them safely, trigger repair or replacement, and reintroduce healthy capacity into the pool automatically. - Own reliability of the pipeline: idempotency, retries, rollback, and drift detection so the provisioning system is as dependable as any other production service. - Partner with the inference/ML platform team: understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform. - Engineer it like software: strong typing, automated tests, code review, versioning, and CI/CD for infrastructure code — this is a product, not a collection of Ansible playbooks. Requirements Core requirements (all levels): - Strong software engineering background in Go, Python, Rust, or similar — you write and test real software for a living. - Experience with durable workflow orchestration tools such as Temporal, Cadence, or equivalent to run long-lived, manifest-driven workflows that survive failures and resume mid-execution. - Experience building software control planes or orchestration systems that model state and reconcile it over time (e.g., Kubernetes controllers/operators, custom reconciliation loops, workflow engines). - Experience with event-driven systems — designing and building software around message queues, event streams, or pub/sub (e.g., Kafka, NATS, SQS) rather than polling or cron-driven scripts. - A product mindset. You’ve built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. Nice to have: - Exposure to bare-metal provisioning (PXE/iPXE, Redfish/IPMI, BMC) and/or networking fundamentals (VLANs, BGP, fabric design), or GPU/accelerator infrastructure. - Experience with GPU cluster software stacks (NCCL, CUDA, InfiniBand/RoCE). - Prior work at a hyperscaler, GPU cloud, or datacenter-scale infrastructure organization. - Systems programming in Rust or Go. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Staff AI Inference and Acceleration Engineer
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Helix AI Engineer, Localization and Mapping
Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.
AI Infrastructure Systems Engineer (Amsterdam & Lo...
AI Infrastructure Systems Engineer Hybrid at our office in Amsterdam or Remote in the UK. Build the infrastructure powering the next generation of AI. At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. What You’ll Build - Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. - Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. - Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. - Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. - Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. - Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. - Continuously improve deployment velocity, reliability, and operational efficiency through automation. - Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. What We’re Looking For - 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. - Strong software engineering skills in Python, Go, or Rust . - Experience building platforms, automation systems, or developer infrastructure. - Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. - Strong systems thinking with the ability to understand problems across hardware and software. - A passion for solving complex infrastructure challenges through software. - An automation-first mindset —if a task is repeated, your instinct is to build a system to eliminate it. Bonus Experience - GPU infrastructure, CUDA, NCCL, NVLink/NVSwitch - InfiniBand or RoCE networking - Bare-metal provisioning and lifecycle management - Large-scale AI training or inference clusters - Hardware health monitoring and predictive failure detection - Distributed storage systems - AI agents and autonomous infrastructure operations You’ll Thrive Here If You - Love building systems that replace repetitive operational work. - Think of infrastructure as a software engineering problem. - Enjoy solving hard problems with no existing playbook. - Care deeply about performance, reliability, and scale. - Want to build technology that powers frontier AI models. Our mission is simple: build AI infrastructure that largely runs itself—where intelligent systems deploy, monitor, diagnose, optimize, and heal GPU fleets at massive scale. Every system you build will directly improve the speed, efficiency, and reliability of one of the world’s most advanced AI compute platforms. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy
Helix AI Engineer, Backend
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.
Helix AI Engineer, Android
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build. We're looking for an Android lead to own Figure's consumer Android app end to end. The app pairs with proprietary hardware and will ingest high volumes of data. You'll be the founding Android engineer. You set the technical direction for the platform, ship the app, and grow the team behind it. WHAT YOU'LL DO - Own the Android app end to end, from architecture to Google Play release. - Build and ship a consumer-grade client with best-in-class polish and performance. - Own core app surfaces: onboarding, capture, tasks, earnings, and notifications. - Set Android architecture, coding standards, and review practices for the engineers who follow. - Instrument the app for analytics, experimentation, and crash-free releases. - Work closely with the iOS lead, hardware integration, and backend engineers to ship complete features. - Drive fast, high-quality release cycles through Google Play, including staged rollouts. WHAT WE'RE LOOKING FOR - 6+ years building and shipping consumer Android apps at scale. - Expert in Kotlin and Jetpack Compose. - Deep experience with CameraX or Camera2, media pipelines, and offline-first sync. - Experience as the lead or senior-most engineer on a mobile platform. - Strong product sense, with performance discipline across a fragmented device matrix. - Comfortable owning a platform end to end on a small, fast-moving team. NICE TO HAVE - Experience at top consumer app companies (Snapchat, Instagram, Uber, or similar). - Bluetooth (BLE) or connected-device integration experience. - Cross-platform experience (React Native, Flutter, or KMP). The US base salary range for this full-time position is between $200,000 - $400,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Helix AI Engineer, iOS
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build.
Helix AI Engineer, XR
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It's time to build.
Research Scientist, Multi-Agent
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: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: - Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks - Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) - Design and implement rigorous quantitative benchmarks for large scale agentic tasks - Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: - Have experience with large-scale RL on language models - Have experience training multi-agent systems - Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. - Have good communication skills and an interest in working with other researchers on difficult tasks - Have a passion for making powerful technology safe and societally beneficial - Are excited for a mission-driven org with fast-paced, impactful work Representative projects: - Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently - Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind - Design and build a novel eval that measures how large teams of agents interact in groups to solve problems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Machine Learning Scientist 5 - Sales, Ads DSE
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Demand Science team within Ads Data Science & Engineering plays a crucial role in Netflix Ads growth by equipping the business to efficiently attract, activate, and scale advertiser demand. As the dedicated ML lead for Sales productivity and automation within the Sales pod, you would partner closely with Product Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact — and then build it. We're looking for someone who can identify the highest-leverage opportunities, propose solutions, and drive them end-to-end to transform how Netflix's ad sales business operates, using data science, AI, and machine learning to help sellers work smarter, close more deals, and scale Ads revenue without scaling headcount at the same pace. The Scope As the ML lead for Sales productivity and automation, you'll own the technical vision and execution across areas such as: - Workflow Automation : In partnership with Product, identify and automate high-friction points in the Sales workflow to reduce delays, eliminate manual work, and improve accuracy — so sellers spend less time on process and more time on selling. - AI-Augmented Selling : Design and deploy AI agents and assistants that make selling faster and more effective — automating where possible and helping sellers prepare for client conversations, respond to RFPs, and close higher-value deals more quickly. What You’ll Do - Define the AI/ML investment roadmap for the Sales pod in close partnership with product and engineering, identifying where data science can drive the most meaningful improvements in Sales productivity and revenue outcomes. - Design, build, and deploy production ML models, AI agents, and automation systems end-to-end. - Partner with Analytics Engineers to build the metrics, measurement pipelines, and reporting that guide investment decisions and track product performance. - Iterate on launched products based on performance data and seller feedback, with a clear eye on measurable business impact. - Serve as a senior technical voice in cross-functional discussions, communicating clearly with both technical and non-technical stakeholders. Who You Are - Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field. - Track record of independently scoping and leading end-to-end ML projects in production environments — not just executing on defined projects, but identifying the right problems to solve and driving them from idea to measurable impact. - Strong strategic acumen: the ability to understand business objectives deeply and translate them into a prioritized technical roadmap. - Comfort with ambiguity and a proactive, curious approach to problem-solving — you can operate effectively in a space where the path isn't always laid out for you. - Excellent communication skills with both technical and non-technical audiences, paired with the curiosity and user empathy to understand Sales pain points and needs. - Proficiency in Python and SQL for building ML pipelines and models. - Experience with LLMs, AI, or agentic systems is a bonus, but not required, given how new these fields are - we think candidates with strong ML product-building experience willing to learn into AI can also be highly successful in this role. - The Netflix Culture Memo resonates with you. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Software Engineer 4/5 – Model Development and Mana...
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Netflix is the world's leading streaming entertainment service with 300M+ paid memberships in over 190 countries enjoying TV series, documentaries and feature films across a wide variety of genres and languages. Machine Learning drives innovation across all product functions and decision support needs. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation. We are seeking an ambitious software engineer to join the Model Development and Management team, that is building the user interface layer for Netflix’s AI Platform in order to accelerate the core loop of model creation, evaluation, experimentation, and deployment. In this role, you'll help shape the future of ML infrastructure at Netflix, with opportunities to contribute to open-source projects and you’ll develop expertise across the full ML lifecycle while working with cutting-edge technologies. AI Platform and Model Development and Management team are working with various teams at Netflix. You’ll gather requirements, design, and implement products that help accelerate model development for different ML use cases. You’ll have the opportunity to work alongside our applied researchers and data scientists on the cutting edge of machine learning. You will have a strong customer focus and consistently engage with our ML community to source feedback, identify pain points, and opportunities to evolve our platform. To be successful in this role, you must have a strong software engineering background, a keen sense of software design, have proven experience with distributed applications and ML systems, be a good communicator, and work well in large cross-functional teams. What we are looking for: - Experience developing platform solutions - SDKs, developer frameworks, or internal tooling used by ML Researchers, ML Engineers, and Data Scientists, emphasizing a user-first approach and demonstrating strong user empathy. - Excellent software design and development skills in Python along with one of Scala, Java, C++. - Experience working on or alongside modern, large-scale ML services. You understand the full lifecycle from data and features to training, experiment tracking, and production deployment, and can build tooling that makes that lifecycle faster and more reliable. - Familiarity with ML workflow orchestration, experiment tracking, or feature/data infrastructure — ideally with tools like Metaflow, Airflow, Kubeflow, MLflow, or similar. - Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems. - 5+ years of full time software engineering or machine learning experience with a bachelor’s and master’s degree; or PhD degree. Preferred, but not required additional areas of experience: - Experience building machine learning models or LLMs - Experience designing or building agentic systems. - Experience working with public clouds, especially AWS. - Significant contributions to open source projects. More information To learn more about the work we do to check if it aligns with your interests, check the following articles: - Supporting Diverse ML Systems at Netflix - Metaflow Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Machine Learning Engineer 5 - Decisioning & Optimi...
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Decisioning & Optimization engineering team owns the systems that determine which ad wins every impression, at what price, and how campaign budgets deliver across all inventory surfaces. Our work spans three platform areas: - ML infrastructure for model serving : real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring - Auction, ranking, and scoring : multi-stage candidate selection, scoring, bid valuation, dynamic pricing, and podding - Budget, pacing, and bidding : control systems for delivery optimization, budget planning, and bid computation We are scaling from a handful of production models to 10+ while maintaining sub-20ms P99 inference budgets. We are looking for an ML engineer who can build and operate the serving infrastructure these models run on, and who understands the ads decisioning context well enough to make the right engineering tradeoffs. What You'll Do - Build and operate end-to-end ML model serving infrastructure for real-time ad decisioning: model publishing, packaging, validation, deployment into the serving stack with zero-downtime hot-swap - Scale the inference path to support dozens of concurrent models on every ad request at 1M+ QPS with strict latency budgets, including batching strategies, CPU/GPU allocation, model versioning, and fallback tiers - Design and optimize the feature serving path: feature hydration from Chronon, Signal Service, and real-time streams with sub-10ms P99 fetch latency and online/offline consistency - Productionize scoring and ranking models for multi-stage ad selection (retrieval, early ranking, full scoring) and integrate model outputs into auction - Build model performance monitoring in production: inference latency, prediction distribution shifts, feature drift detection, score calibration, and regression detection before revenue impact - Partner closely with Data Science & Platform teams - Build simulation infrastructure to replay production traffic against candidate models offline, enabling validation of marketplace changes before live rollout - Drive operational excellence for ML systems: reliability, observability, capacity planning, incident response, and scaling for live events with 35M+ concurrent viewers Skills & Experience We're Seeking - 7+ years of software engineering experience; 3+ years focused on ML infrastructure, model serving, or ML platform work in an ads or real-time decisioning context - Built and operated real-time model serving systems at high QPS with sub-20ms latency: online inference, feature stores, model registries, model hot-swap, canary and shadow rollout - Proficiency in Java, Python, or Scala with a solid understanding of multi-threading, memory management, and performance optimization for latency-critical paths - Hands-on with ML serving frameworks: serialization, runtime optimization, and deployment constraints - Experience with feature engineering pipelines for real-time systems: online/offline consistency, hydration strategies, caching, and freshness tradeoffs - Strong understanding of model monitoring in production: drift detection, prediction distribution analysis, calibration, and latency profiling - Comfortable working at the boundary between ML research and production engineering: can take a model artifact and turn it into a production-ready service that meets SLA - Demonstrated ability to operate in an environment that requires both big-tech scale and startup speed Nice to Haves - Ads domain experience: ranking models, bid scoring, reserve pricing, yield optimization, dynamic allocation across guaranteed and non-guaranteed inventory - Experience with auction mechanics: multi-stage ranking, bid shading, bid prediction, marketplace competition dynamics - Built or improved budget pacing and delivery control systems - Built simulation or counterfactual testing platforms for marketplace or auction systems - Experience with A/B testing infrastructure for model rollouts: online experiments, holdout groups, interference-aware evaluation in marketplace settings - Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale, burst traffic patterns - JVM ecosystem Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Machine Learning Scientist 5 - Ads Forecasting
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. In 2022 we launched a new lower-priced, ad-supported tier, and we are building an in-house, world-class ad-tech ecosystem to give our members more choice and to offer advertisers a premium, better-than-linear-TV experience. We are looking for the founding members of this new business area for Netflix. The Ads Forecasting team builds the predictive foundation of the Netflix ads business — the models that tell us, before a campaign ever runs, how much inventory is available and how a campaign will deliver. We forecast supply and demand across audiences, ad products, and formats, and we predict campaign outcomes such as maximum availability, delivery confidence, reach, and frequency, accounting for the ad-serving optimizations that shape delivery. Our forecasts power media planning, underwriting, budget planning, yield, and the public API. This is a brand-new, foundational role. You will build the machine learning models that augment our simulation-based engine for predicting campaign delivery — turning a slow, rules-based simulation into fast, accurate, learnable models of how campaigns deliver against real inventory. You'll own the modeling and prototyping end-to-end and partner closely with our ML engineering team to take models to production. In this role, you will: - Build, prototype, and iterate on supervised machine learning models that predict campaign delivery outcomes — delivery risk, reach, frequency, and contention — to replace the current simulation engine. - Model demand-side campaign outcomes while incorporating supply-side signals , so the models reason about how well available inventory matches what advertisers are trying to achieve (targeting, frequency caps, contention, pacing). - Design rigorous offline and online evaluation frameworks to measure model accuracy, robustness to seasonality and distribution shift, and lift over the simulation baseline. - Own feature engineering and contribute to the team's feature store — turning ad-serving logs, campaign attributes, and supply signals into reusable, well-documented features. - Prioritize explainability and interpretability : your models' outputs must be defensible to sales and media-planning stakeholders making real booking and underwriting decisions. - Partner with ML engineers to deploy models at scale and to monitor production model health and drift , feeding monitoring insights back into the next modeling iteration. - Collaborate with cross-functional partners across product, engineering, and sales to define objectives, constraints, and trade-offs, and to drive adoption of ML-driven forecasts. - Communicate technical decisions, trade-offs, and results clearly to both technical and non-technical audiences at all levels of the company. We are looking for: - Advanced degree (PhD or Master's) in Statistics, Mathematics, Computer Science, or a related quantitative field. - 5+ years of relevant experience building machine learning models on large-scale data. - Deep expertise in supervised learning (e.g. gradient-boosted trees, regression, and related methods) with a strong bias toward interpretable, explainable models . - Strong feature engineering skills and familiarity with feature stores and standard ML lifecycle practice (versioning, evaluation, monitoring, retraining). - Proven ability to prototype algorithms and validate them rigorously against production data. - Strong programming skills in Python and strong SQL . - Working knowledge of ad-serving and campaign concepts — how campaigns are delivered and what creates delivery risk: targeting, frequency caps, contention, bidding, pacing, budget planning, and the core campaign objects/attributes; and the metrics that matter (reach, frequency, impressions, clicks, outcomes). You should understand both the supply side (ad-serving rules and inventory behavior) and the demand side (campaign attributes and advertiser goals). Ads experience is strongly preferred. - Ability to work independently, drive your own projects, and make compelling cases for prioritization. - Ability to communicate technical and statistical concepts clearly to audiences at many levels. - Embodies the Netflix values while bringing a new perspective to continue improving our culture. Nice to have: - Experience at a DSP, SSP, or publisher-side ad platform where predicting campaign outcomes at scale is a core science problem. - Familiarity with our ML stack (Metaflow) or comparable large-scale ML tooling. - Experience partnering with ML engineers to ship and monitor production ML systems. - Experience creating data products, dashboards, or explainability tooling for non-technical stakeholders. - Experience applying GenAI to boost developer/research productivity. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Software Engineer 5 – Agent Platform, AI Platform
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. At Netflix, we want to entertain the world, and we're constantly innovating on how entertainment is imagined, created, and delivered to a global audience. Increasingly, that innovation is powered by AI — and Netflix is making a deliberate bet to become AI Native, with AI woven into how we build products, create content, and run the company. The Opportunity The Agent Platform team gives Netflix engineers the infrastructure to go from zero to a production-grade AI agent without reinventing the wheel. We own the foundational building blocks the whole company builds on: the Model Gateway (unified access to external LLMs like Claude, GPT, and Gemini), the Assistance API for conversational use cases, the MCP Gateway that connects agents to Netflix's internal systems and knowledge, our Agent SDK, and an end-to-end evaluation stack. The work has moved well beyond chat completions. Teams across Netflix are now building agents — systems that plan, call tools, observe results, and iterate — and they depend on us for the infrastructure to do that reliably and to know whether their agents are actually any good. We're a small team with outsized leverage: what we ship becomes the foundation for AI across all of Netflix. What you will do: - Design, build, and operate the Agent SDK and MCP Gateway that Netflix engineers use to build, deploy, and run AI agents in production. - Build agents and agent infrastructure across the full lifecycle — plan/act/observe loops, tool and MCP integrations, deployment, and day-2 operations. - Make evaluation a first-class part of the platform: build the tracing, eval suites, and quality signals that let teams measure agents, catch regressions, and iterate to make them better. - Own reliability, observability, and guardrails for non-deterministic systems running at very high scale - Lead cross-functional initiatives with ML scientists, data scientists, product managers, and other AI Platform teams. - Rapidly iterate with users to improve the developer experience while establishing durable foundational capabilities. Desired Background: - 8+ years of software engineering experience with a track record of delivering quality results. - Hands-on experience building, deploying, operating, AND evaluating LLM agents in production — not just chat-completion apps or prototypes. - Experience with one or more agent frameworks/SDKs (Strands, OpenAI Agents SDK, Anthropic Claude Agent SDK, LangGraph, pydantic-ai, CrewAI, Google ADK) and with tool/function calling and MCP. - Experience with LLM/agent evaluation and observability — building eval suites, tracing, and quality measurement, then iterating on results (Braintrust, LangSmith, W&B, or equivalent). - Strong experience building SDKs and APIs for internal or external developers. - Strong fundamentals in building and operating scalable, observable, fault-tolerant distributed systems. - Proficiency in Python (and Python packaging tooling) plus one of Java, Go, C/C++, Rust, or Zig. Familiarity with our stack — Temporal, FastAPI, PostgreSQL, Kubernetes — is a plus. - Experience with large-scale build, release, CI/CD, and observability methods. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
AI Engineer 6 - AI Foundation & Tooling, Ads Platf...
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. Our Team The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them. About the Role We're looking for a Staff AI Engineer to join us as the first dedicated AI engineer. Your core mission is to build the AI infrastructure and agentic workflows that transform how our team develops and operates software. This is a greenfield opportunity. You won't be maintaining existing AI systems — you'll be designing and building them from scratch. Our team has active AI champions and early tooling already in production, but we need someone with deep hands-on experience to architect the foundational layer and accelerate our path to AI-native engineering. Our code footprint is reasonable today but expanding at an extraordinary pace; a core part of this role is striking the right balance between AI-driven speed and quality — shipping faster without accumulating slop, regressions, or accountability gaps. This role focuses on applied AI — building production systems with existing models and tools, not training LLMs. You'll leverage large language models, agentic frameworks, and retrieval-augmented generation to solve real infrastructure and product problems, with a direct impact on how quickly and confidently the team can deliver in a competitive market. What You’ll Do AI Infrastructure & Agentic Workflows - Architect and build a centralized context layer that gives AI agents grounded, team-specific knowledge - Design and implement agentic workflows for the full development lifecycle: AI-assisted code generation, automated test creation, PR pre-review, and deployment validation - Build AI-powered operational workflows — automated incident triage, log and metric correlation, root cause analysis, and guided resolution - Develop multi-agent orchestration where parallel agents handle implementation, testing, and documentation as coordinated workflows - Set up standardized AI development environments so every engineer can work in an AI-first workflow from day one - Drive team-wide AI adoption through hands-on enablement — pairing sessions, architecture reviews, workflow demonstrations, and continuous feedback loops Skills & experience we’re seeking: - 3+ years of significant focus on applied AI systems - Proven experience building and deploying agentic AI systems in production — agent architectures, tool integration, orchestration, and evaluation frameworks - Hands-on experience setting up AI infrastructure for end-to-end software development workflows (AI coding assistants, context engineering, automated testing) - Strong software engineering fundamentals — you build production-grade systems, not just prototypes - Deep experience with retrieval-augmented generation — document indexing, embedding strategies, retrieval pipelines, and grounding techniques - Proficiency in Python and/or JVM languages - Demonstrated ability to drive technical adoption across a team — you can demonstrate value, build trust through pairing and architecture reviews, and bring engineers along on new workflows Nice to haves: - Prior experience as the first or early AI engineer on a team — standing up AI capabilities where none previously existed, with the ownership and initiative of an early-stage environment - Familiarity with LLM application patterns: context engineering, tool use / function calling, structured outputs, multi-agent coordination, and evaluation / hill-climbing methodologies - Experience integrating AI into CI/CD pipelines (automated PR review, test generation, deployment validation) - Background in building operational tooling — incident response automation, log analysis, diagnostic workflows Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $600,000.00 - $1,066,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.
Product Manager, Agent Development
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 - Build Enterprise-grade AI Agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with Customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the Product Roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU’LL BRING - 5-7+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. 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.
Fractional Business Development Lead-San Francisco...
About Arkadium At Arkadium, our purpose is simple: to have fun while creating fun. For 25 years, we've been behind some of the world's most-played games—from the classic Solitaire that came with Windows to hundreds of web and mobile games enjoyed by millions of players around the globe. As a proud Evergreen business, our values of Fierce Drive, Positive Energy, and Living Full Lives guide how we build products, lead teams, and grow sustainably. We are founder-led, privately held, and consistently recognized as a Best Place to Work. In other words, we're not your typical games company. About the Role We're looking for a fractional business development lead based in San Francisco to help Arkadium build relationships in the AI ecosystem and create new partnership opportunities. This person will act as an embedded connector across the San Francisco AI community-attending events, building relationships, opening doors with relevant companies, and helping us get closer to the right researchers, product teams, and decision-makers. This is a part-time/fractional 3-month engagement with the potential to extend based on results. If you're a well-connected business development professional in the San Francisco AI ecosystem and excited to help Arkadium build strategic partnerships, we'd love to hear from you. What You'll Do • Build and manage relationships across the San Francisco AI community • Attend industry events , meetups, dinners, and conferences regularly • Identify and engage high-value contacts at AI labs, startups, and adjacent companies • Create introductions that lead to partnership and business development opportunities • Help Arkadium navigate complex organizations and find the right internal teams • Conduct targeted outreach and consistent follow-up with prospects • Share market feedback and intelligence from conversations in the ecosystem • Coordinate closely with Arkadium leadership on target accounts, messaging, and priorities What Success Looks Like • Opens doors to the right people at priority companies • Generates qualified introductions and meetings quickly • Helps convert outreach into concrete partnership conversations • Contributes to closed deals or clear late-stage opportunities during the engagement • Builds a repeatable relationship map of the San Francisco AI ecosystem Requirements Who You Are • Deeply embedded in the San Francisco tech and AI scene • A natural networker who is highly proactive and comfortable with outbound outreach • Strong at follow-up, relationship management, and moving conversations forward • Commercially minded and motivated by results • Able to understand technical concepts well enough to communicate credibly with AI teams • Likely comes from business development, partnerships, startup sales, or ecosystem roles • Comfortable operating independently in a fast-moving, ambiguous environment Ideal Background • Existing relationships across the San Francisco AI/startup ecosystem • Experience in tech sales, partnerships, business development, or founder-facing ecosystem work • Familiarity with AI labs, model companies, tooling startups, or developer platforms • Experience working in or around emerging technology markets • Strong communication skills in both in-person and digital outreach settings Benefits Monthly retainer plus performance-based upside/commission Immediate start
AI Agent Developer
Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you.
AI Agent Developer
Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you.
AI Agent Developer
Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you.
AI Agent Developer
Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you.
AI Agent Developer
Cyrex, a Magic Media company, is a media and tech start-up powered by creativity and innovation. We work with leading developers and publishers in the games industry, providing support and solutions designed around individual needs and carried out by global experts. We produce high-quality results by constantly staying at the forefront of modern technology and cutting-edge processes and practices. The best of our team are known for their strong initiative, not just in taking care of their day-to-day responsibilities but in helping identify ways to build, grow, and do more in their work. We’re currently looking for a dynamic addition to the team to help work on exciting cybersecurity and development projects for the video games industry. The ideal candidate will work with cross-functional teams to develop critical products and services for our clients and offer excellent technical support to our teams. If you’re an enthusiastic, motivated, and lateral thinker, our team is waiting to meet you! Responsibilities - Be at the forefront of autonomous pentesting, by developing our agentic penetration testing tool - Implement agentic workflows that conduct an application penetration test from A-Z - Benchmark results and improve the logic - Provide technical support for penetration testing teams who use the tool. Requirements - A technical or university level qualification, preferably in Computer Science. Equivalent combination of education and experience may be substituted. - Excellent written and oral communication skills (especially in the English language) - 3+ years of writing products in python 3. - Experience with at least one agentic framework (eg LangGraph, AutoGen, CrewAI) or comparable orchestration patterns - Understanding of key agentic components like memory management, prompting and tool design, RAG fundamentals, multi-agent orchestration and prompt injection defenses - Knowledge about evaluating agents using benchmarks and success metrics A working knowledge in - Offensive security, including common vulnerability knowledge and experience with web and mobile app testing - Familiarity with common tooling such as: Burp Suite, OWASP ZAP, Nuclei, sqlmap, nmap Benefits - An opportunity to hone and improve your skills by applying them to a diverse variety of gaming projects - The chance to work closely with a team of like-minded creative professionals in a fast-paced, multicultural environment on a variety of gaming projects - A competitive salary - Ongoing training and professional self-improvement opportunities If this sounds interesting to you and you’d like to be at the forefront of cybersecurity, we’d love to hear from you.
AI Director - Machine Learning | North America | C...
What we are looking for: We are looking for an experienced and passionate AI/Machine Learning Director to become a defining member of our Engineering team at Escape Velocity Entertainment. You will research, develop, and prototype AI/ML solutions to unlock new experiences and push the boundaries of our ambitious project. Requirements What we will do together: - Oversee ML bot research, development, and implementation. - Identify and evaluate opportunities to use generative AI across the production pipeline. - Gather AI-related ideas and needs from teams and convert them into actionable plans. - Drive execution of approved AI initiatives, prototypes, and workflow improvements. - Explore and prototype local models trained on internal data. - Develop guidelines and best practices for agentic AI systems (e.g., Windwalk, Antigravity). - Educate directors and teams on AI capabilities, limitations, and practical usage. - Up to date knowledge with emerging AI models, tools, and industry trends. - Understand major AI models and clearly explain their strengths, weaknesses, and applicability What you will bring: - Previously held an AI/ML Lead/Manager or equivalent position. - Solid experience with Python and C++ with strong expertise with ML frameworks like PyTorch and TensorFlow. - Strong communication skills for engaging both technical and non-technical audiences. - Expertise in AI/ML theory, algorithms, and system design. - A collaborative, mentoring-oriented mindset and passion for solving problems. - Game development experience is a plus but is not required. Benefits Interested… a bit about Escape Velocity: Escape Velocity is a team of passionate, talented developers working at a studio that offers excellent benefits, on what we believe is a once-in-a-career project with a committed publisher. But that doesn’t necessarily make us unique. What does make us special? We value the time, energy, and talent of our players and our colleagues. We want every hour spent developing and playing our games to be an incredibly rewarding and worthwhile use of your time. To that end, we are ‘Fully Remote’ and support team members nearly anywhere in the world. We prioritize honesty, even when that means sharing bad news. We strive to give everyone autonomy so they can determine how best to work and play, and we care more about what you bring to the game and studio than how many hours you’re clocking. We’re dedicated to building a culture of play, which not only makes us better game makers, but also strengthens the bonds between us all. We believe in constant improvement across all areas – from the game itself to our production design – and are constantly re-evaluating how we spend our time to ensure that we’re not wasting yours and we’re all always working on the most important things. A few benefits you can expect from us: - A generous PTO allowance - Summer and Winter holidays studio closure (separate to PTO allowance) - Private Medical & Dental Healthcare - Private Mental Health scheme - A generous annual Health & Wellbeing allowance - Discretionary Studio Bonus - Top range tech for your home set up - Other benefits based on your region How to apply: Click apply and complete an application along with a Resume / CV. If we would like to move forward with your application, a member of the Recruiting Team will reach out to you and guide you through our process. Escape Velocity is proud to be an equal opportunity employer. We are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities. Applications will be considered regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
Technical Artist Role (AI)
Title Technical Artist / 3D Pipeline Artist Reporting To Technical Art Director We are looking for a highly capable Technical Artist to join our team and work closely with the Technical Art Director to help build and scale an AI-driven creative production pipeline. This role is ideal for someone with a strong 3D art background who also enjoys solving technical challenges, improving workflows, and turning creative concepts into high-quality final outputs. You will play a key role in taking concept designs through the AI pipeline, helping transform ideas into consistent, scalable visual content. Key Responsibilities - Work alongside the Technical Art Director to develop and improve the AI art production pipeline. - Take concept designs, references, and creative briefs through the pipeline to final output. - Build and prepare 3D assets including characters, props, environments, and scenes. - Translate 2D concepts into AI-ready 3D setups and reusable production assets. - Create scene layouts, camera setups, lighting, materials, and renders for AI workflows. - Use AI tools to generate, refine, upscale, and polish visual outputs. - Maintain consistency between concept art and final generated assets. - Help build modular asset libraries and reusable systems for efficient production. - Troubleshoot technical issues across art tools, rendering, and AI workflows. - Organize files, naming conventions, and production assets to professional standards. - Test new tools and recommend improvements to speed, quality, and scale. Requirements - Strong 3D art experience using Blender, Maya, Cinema 4D, Unreal Engine , or similar. - Excellent understanding of: - Modeling - Topology - UV mapping - Texturing - Lighting - Cameras - Rendering - Composition - Strong artistic eye for quality, design, and visual storytelling. - Comfortable working with technical workflows and solving pipeline problems. - Experience using or learning AI creative tools quickly. - Strong communication and ability to collaborate closely with direction. Nice to Have - Python scripting - Geometry Nodes / procedural workflows - Houdini - Unreal Engine Blueprints - ComfyUI / Stable Diffusion workflows - Character rigging / animation - Cinematic scene building - Experience in games, film, comics, or content production Ideal Candidate - Strong balance of art and technical thinking. - Enjoys building systems, not just assets. - Can take direction well and execute quickly. - Comfortable in a fast-moving startup environment. - High standards with strong attention to detail. - Excited by the future of AI-assisted content creation. What Success Looks Like - Concepts are turned into production-ready outputs quickly. - Pipeline efficiency improves over time. - Asset quality remains high at scale. - Creative direction is executed accurately and consistently. Benefits - Private Healthcare Plan - Pension Plan - Life Assurance - Work From Home - Training & Development - Employee Assistance Programme
AI Product Designer
Job Title: AI Product Designer (Avakin Life) Reports to: Creative Director Role Overview We’re looking for an AI Product Designer to design and ship player experiences for Avakin Life using AI-first workflows. This role sits at the heart of cross-functional squads, working closely with Product and Engineering Teams to continuously improve core player journeys, LiveOps features, and monetisation systems. This is not about big concepts that sit in decks, it’s about iteration, experimentation, and shipping value every week. You’ll combine strong hands-on design with fast execution, using tools like Claude and generative AI to deliver high-quality work at speed. Key Responsibilities Design & Product Impact - Design end-to-end player journeys across features, systems, and LiveOps - Translate product and commercial goals into intuitive, high-performing experiences - Deliver features that improve engagement, retention, and monetisation AI-First Execution - Use tools like Claude, Figma AI, and generative workflows to accelerate design - Prototype and test ideas quickly to validate assumptions - Continuously refine AI-driven workflows to increase team velocity Experimentation & Optimisation - Support A/B testing and iterative improvements - Use data, insight, and player behaviour to inform design decisions - Focus on continuous optimisation rather than one-off releases Collaboration - Work closely with Product and Engineering to shape and prioritise the roadmap - Align with Art and Creative to ensure quality and consistency - Present work clearly, explaining decisions and trade-offs Skills & Experience - Experience in product/UX/UI design (games, mobile, or live service preferred) - Strong portfolio demonstrating shipped features and measurable impact - Experience working in cross-functional, agile teams AI Skills (Essential) - Hands-on experience with Claude, ChatGPT, Figma AI, Midjourney or similar - Ability to use AI to generate, iterate, and refine design outputs Core Strengths - Strong UX and interaction design fundamentals - Confident prototyping and rapid iteration - Data-informed decision making Requirements - Outcome-driven mindset with focus on player and business impact - Ability to work quickly and pragmatically in a fast-paced environment - Clear communicator who can simplify complex problems - Proactive and accountable, taking ownership of delivery Nice to Have - Experience with LiveOps, in-game economies, or monetisation systems - Familiarity with experimentation and growth frameworks - Experience contributing to design systems What Success Looks Like - Features ship quickly and consistently, not just conceptually - AI tools are used effectively to increase speed and output quality - Designs drive measurable improvements in engagement and retention Benefits - Private Healthcare Plan - Pension Plan - Life Assurance - Work From Home - Training & Development - Employee Assistance Programme
Visual Novel Writer, AI Content (Contractor)
Crazy Maple Studio is a fast-growing company based in the Bay Area and Los Angeles, focusing on mobile gaming, reading, and streaming. We are proud to have a global team that drives our innovation and success across diverse markets. Our flagship platform, ReelShort, is the #1 vertical streaming app in the U.S., with over 8 million DAU, delivering bite-sized episodic content that keeps viewers hooked. Other standout products include Chapters, where users shape immersive stories across drama, fantasy, and romance, and My Fiction, a platform for consuming and creating serialized romance. We’re proud to be recognized as one of the Global Most Loved Workplaces 2025, reflecting our commitment to innovation, creativity, and an employee-first culture. Position Overview: As a ReelShort Visual Novel Writer for AI Content, you will play a key role in creating emotionally resonant, high-impact novellas tailored for mobile-first storytelling. The distinguishing feature of this role: the novellas you write will be produced using AI video generation tools, rather than traditional film production. Your craft remains the heart of the job—writing strong, emotionally driven stories—but you'll also develop an understanding of how to shape stories so they translate cleanly into AI-generated visuals. The ideal candidate can adapt across multiple genres and tonal styles, with a strong command of romance and drama at the core. We're looking for a natural storyteller, an insightful editor, and a collaborative creative partner. In this role, you'll help elevate story quality across the platform, contribute to workshop feedback, and guide content toward performance-based goals. This role is ideal for a writer with 3+ years of experience, an interest in AI-produced video content, and a demonstrated ability to craft commercially successful, emotion-driven narratives. Key Responsibilities: - Adapt and create a wide range of source materials—including web novels, original ideas, and global IP—into episodic novellas for short-form, mobile-first content. - Write original novellas that balance emotional depth with high entertainment value, across a variety of tones. - Write novellas intended for AI video production (e.g., Seedance and similar tools): craft scenes, action lines, and visual descriptions in a way that AI generation tools can interpret faithfully, and that hold up on screen. - Iterate on novellas based on AI production output—revising scenes or dialogue when the generated footage reveals what's working and what isn't. - Participate in writing workshops and content training sessions, including sessions focused on writing effectively for AI-produced content. - Utilize data and performance insights to revise, refine, and optimize content for in-app retention, reader conversion, and marketing hooks. - Stay informed on storytelling trends in vertical media and on the evolving capabilities of AI video tools, and bring fresh, adaptable ideas to the table. - Utilize data analytics to make informed adjustments to writing projects, optimizing content performance and engagement. - Seamlessly integrate marketing content into scripts, ensuring a cohesive and engaging narrative. Requirements - Hands-on experience with AI image and/or video generation platforms - Strong understanding of prompting and visual control (angle, framing, emphasis) - Solid visual literacy (composition, camera language, shot types) - Background in storyboarding, filmmaking, photography, illustration, or video production is a plus - Ability to follow creative direction while making smart visual execution decisions - Comfortable working in fast-iteration environments - High acceptance of AI-assisted workflows and new technologies - Experience with short-form narrative, episodic content, or dramatic visual storytelling - Familiarity with AI-generated video pipelines - Understanding of how visuals support attention and clarity in short-form content - Strong communication skills and ability to respond constructively to feedback - Familiarity with Node-based workflows is preferred Benefits Crazy Maple Studio, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Visual Novel Writer, AI Content (Contractor)
Crazy Maple Studio is a fast-growing company based in the Bay Area and Los Angeles, focusing on mobile gaming, reading, and streaming. We are proud to have a global team that drives our innovation and success across diverse markets. Our flagship platform, ReelShort, is the #1 vertical streaming app in the U.S., with over 8 million DAU, delivering bite-sized episodic content that keeps viewers hooked. Other standout products include Chapters, where users shape immersive stories across drama, fantasy, and romance, and My Fiction, a platform for consuming and creating serialized romance. We’re proud to be recognized as one of the Global Most Loved Workplaces 2025, reflecting our commitment to innovation, creativity, and an employee-first culture. Position Overview: As a ReelShort Visual Novel Writer for AI Content, you will play a key role in creating emotionally resonant, high-impact novellas tailored for mobile-first storytelling. The distinguishing feature of this role: the novellas you write will be produced using AI video generation tools, rather than traditional film production. Your craft remains the heart of the job—writing strong, emotionally driven stories—but you'll also develop an understanding of how to shape stories so they translate cleanly into AI-generated visuals. The ideal candidate can adapt across multiple genres and tonal styles, with a strong command of romance and drama at the core. We're looking for a natural storyteller, an insightful editor, and a collaborative creative partner. In this role, you'll help elevate story quality across the platform, contribute to workshop feedback, and guide content toward performance-based goals. This role is ideal for a writer with 3+ years of experience, an interest in AI-produced video content, and a demonstrated ability to craft commercially successful, emotion-driven narratives. Key Responsibilities: - Adapt and create a wide range of source materials—including web novels, original ideas, and global IP—into episodic novellas for short-form, mobile-first content. - Write original novellas that balance emotional depth with high entertainment value, across a variety of tones. - Write novellas intended for AI video production (e.g., Seedance and similar tools): craft scenes, action lines, and visual descriptions in a way that AI generation tools can interpret faithfully, and that hold up on screen. - Iterate on novellas based on AI production output—revising scenes or dialogue when the generated footage reveals what's working and what isn't. - Participate in writing workshops and content training sessions, including sessions focused on writing effectively for AI-produced content. - Utilize data and performance insights to revise, refine, and optimize content for in-app retention, reader conversion, and marketing hooks. - Stay informed on storytelling trends in vertical media and on the evolving capabilities of AI video tools, and bring fresh, adaptable ideas to the table. - Utilize data analytics to make informed adjustments to writing projects, optimizing content performance and engagement. - Seamlessly integrate marketing content into scripts, ensuring a cohesive and engaging narrative. Requirements - Hands-on experience with AI image and/or video generation platforms - Strong understanding of prompting and visual control (angle, framing, emphasis) - Solid visual literacy (composition, camera language, shot types) - Background in storyboarding, filmmaking, photography, illustration, or video production is a plus - Ability to follow creative direction while making smart visual execution decisions - Comfortable working in fast-iteration environments - High acceptance of AI-assisted workflows and new technologies - Experience with short-form narrative, episodic content, or dramatic visual storytelling - Familiarity with AI-generated video pipelines - Understanding of how visuals support attention and clarity in short-form content - Strong communication skills and ability to respond constructively to feedback - Familiarity with Node-based workflows is preferred Benefits Crazy Maple Studio, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
AI Storyboard & Video Artist (Contractor)
Crazy Maple Studio is a fast-growing company based in the Bay Area and Los Angeles, focusing on mobile gaming, reading, and streaming. We are proud to have a global team that drives our innovation and success across diverse markets. Our flagship platform, ReelShort, is the #1 vertical streaming app in the U.S., with over 8 million DAU, delivering bite-sized episodic content that keeps viewers hooked. Other standout products include Chapters, where users shape immersive stories across drama, fantasy, and romance, and My Fiction, a platform for consuming and creating serialized romance. We’re proud to be recognized as one of the Global Most Loved Workplaces 2025, reflecting our commitment to innovation, creativity, and an employee-first culture. Position Overview: We are looking for an AI Storyboard & Video Artist to support short-form narrative projects by translating shotlists and creative direction into consistent, usable AI-generated images and video clips. This role operates in a fast-paced, iterative environment that demands strong team collaboration, visual judgment, and fluency with AI tools. Narrative pacing and story structure are established by the writing and editing teams. Projects may target male-oriented, female-oriented, or general audiences, with a focus on clarity, impact, and visual effectiveness in short-form storytelling. Key Responsibilities - Generate images and video clips based on shotlists and defined creative direction - Maintain character, environment, and style consistency across scenes - Apply visual judgment to enhance key moments using inserts, close-ups, or emphasis shots when appropriate - Write, refine, and iterate prompts to control framing, camera distance, composition, and visual focus - Adapt outputs to fit short-form narrative needs, without redesigning story structure or pacing - Assemble and edit generated assets into complete episodes, managing the full post-production loop including pacing, AI voiceover synchronization, sound design, and music mixing - Deliver final, publishable episodes ensuring high production value and adherence to platform technical specifications - Collaborate with creative leads to ensure generated visuals are usable and editorial-friendly - Explore and test new AI tools and workflows to improve efficiency and quality Requirements - Hands-on experience with AI image and/or video generation platforms - Strong understanding of prompting and visual control (angle, framing, emphasis) - Solid visual literacy (composition, camera language, shot types) - Background in storyboarding, filmmaking, photography, illustration, or video production is a plus - Ability to follow creative direction while making smart visual execution decisions - Comfortable working in fast-iteration environments - High acceptance of AI-assisted workflows and new technologies - Experience with short-form narrative, episodic content, or dramatic visual storytelling - Familiarity with AI-generated video pipelines - Understanding of how visuals support attention and clarity in short-form content - Strong communication skills and ability to respond constructively to feedback - Familiarity with Node based workflow is preferred Benefits Crazy Maple Studio, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Senior Full Stack Engineer, AI
About Big Viking Games Big Viking Games is a Canadian gaming company focused on building, operating, and growing long-standing online game communities. Our games have entertained players for years, supported by loyal audiences, live operations, evolving content systems, product innovation, and deep player-driven economies. Our flagship titles, YoWorld and FishWorld, have served millions of players over their lifetime. These are enduring live-service virtual worlds with rich in-game economies, virtual goods, social interaction, and long-term player engagement at their core. We are entering a new phase of modernization and growth, with a focus on practical AI adoption, stronger internal tooling, faster content production, better workflow automation, and scalable systems that help our games and teams perform at a higher level. About the Role Big Viking Games is hiring a Senior Full Stack Engineer to build AI-enabled products, workflows, tools, and systems that help turn creative direction into production-ready game content at scale. This is a hands-on product engineering role for someone who can own a vertical end to end, from the data model and backend services to APIs, orchestration logic, human review workflows, and the user interface the team operates from. You will not be working on a small slice of someone else’s codebase. You will be expected to take ambiguous goals, turn them into clear technical plans, build practical systems, and own the quality of the result. This role is ideal for someone who is fluent in modern full stack development, understands how to work with AI coding tools and generative AI systems, and has the judgment to know where automation helps, where human review is required, and where quality cannot be compromised. This is a hybrid role based in Toronto, with an expectation of working in office three days per week. What You’ll Build You will build internal AI-enabled products, tools, systems, and workflows that help our teams create, review, approve, manage, and ship game content more efficiently. This may include: · Tools that turn creative direction into structured production workflows. · AI-assisted content generation systems with human review and approval gates. · Internal products that help designers, artists, product managers, and live operations teams produce and manage content. · Data models, APIs, queues, orchestration layers, and UI surfaces that support repeatable workflows. · Agentic workflows that break complex production tasks into reliable, reviewable steps. · Systems that track inputs, generated outputs, approvals, revisions, quality checks, and production readiness. · Workflow automation that reduces manual work while keeping creative and quality standards high. You will own the quality of what the system produces, not just the plumbing that moves data around. What You’ll Do · Design, build, test, and maintain full stack applications that support AI-enabled game production workflows. · Own features end to end, including data modeling, backend logic, API design, frontend implementation, deployment, and ongoing improvement. · Build structured generation workflows that produce reliable, reviewable outputs from AI models. · Create human-in-the-loop review systems so teams can steer, approve, reject, edit, and improve generated content. · Translate ambiguous creative or operational goals into clear specifications, scoped plans, and production-ready systems. · Build internal tools that improve speed, consistency, visibility, and quality across content production workflows. · Partner with engineering, product, design, art, live operations, and leadership to understand workflow pain points and build practical solutions. · Implement approval steps, audit trails, retries, staged processing, idempotency, and other patterns required for reliable production systems. · Use AI coding agents and assistants as part of your daily workflow, while maintaining strong engineering judgment and code quality. Review generated code, model outputs, workflow logic, and product behavior with a high bar for accuracy and usability. Improve system reliability, observability, documentation, maintainability, and developer experience. Contribute to a practical AI-first engineering culture focused on speed, quality, and measurable business impact. Requirements What You Bring · Several years of experience shipping production full stack web applications. · Strong TypeScript and Node.js experience. · Production experience with React, Next.js, or similar modern frontend frameworks. · Strong SQL and Postgres experience, including schema design, query performance, data integrity, and relational modeling. · Experience owning features or products end to end, not just working on one layer of the stack. · Strong product and engineering judgment, with the ability to identify when output is wrong, incomplete, fragile, or subtly off. · Experience turning ambiguous goals into clear specs, technical plans, and deliverable milestones. · Comfort working with content-generation systems, data pipelines, workflow orchestration, staged processing, approval flows, or similar production systems. · Strong understanding of APIs, backend services, frontend product surfaces, data models, and system boundaries. · Disciplined git, pull request, review, testing, and deployment practices. · Ability to work independently, make sound technical decisions, and own a complete area without heavy hand-holding. · Strong communication skills with both technical and non-technical stakeholders. · A practical mindset, high ownership, and the ability to move quickly without dropping the quality bar. AI and Agentic Workflow Experience We are looking for someone who is not just curious about AI, but already understands how to use it productively. You should be able to demonstrate: · AI coding agents and AI-assisted development workflows. · Generative AI systems that produce structured, reviewable outputs. · Prompting, spec-writing, workflow design, and model output review. · Building systems where AI accelerates work but humans remain in control of quality. · Evaluating generated outputs for correctness, consistency, usability, and production readiness. · Designing guardrails, review gates, retries, approval flows, and escalation paths. · Understanding where AI can safely automate work and where human judgment is still required. Nice to Have · Experience shipping generative AI or agentic AI features in production. · Experience with structured generation, prompt engineering, evals, guardrails, tool use, or agent orchestration. · Experience with LangChain, LlamaIndex, Vercel AI SDK, OpenAI, Anthropic, Gemini, or similar AI development tools and APIs. · Experience with queues, workers, background jobs, event-driven systems, or orchestration frameworks. · Experience building internal tools for creative production, game operations, content pipelines, or media workflows. · Experience with art, animation, Flash, Animate, asset pipelines, or other creative tooling. · Experience working with designers, artists, product managers, or live operations teams. · Experience in gaming, live-service products, virtual worlds, social games, or free-to-play environments. · High visual judgment and the ability to push generated content toward better quality, consistency, and production value. Ideal Candidate Profile The ideal candidate is a senior product-minded engineer who can build real systems from unclear starting points. They can think through the product experience, the data model, the workflow, the API, the user interface, and the quality controls required to make the system useful in production. They are not simply using AI to write code faster. They understand how to direct AI, review its output, design better workflows around it, and turn AI-assisted processes into reliable products that teams can actually use. They are comfortable moving fast, but they do not confuse speed with sloppiness. They care about clean architecture, strong product judgment, maintainable code, reliable workflows, and high-quality output. This role is best suited for someone who wants ownership of a meaningful AI product area inside a live-service gaming company and is excited by the opportunity to help shape how game content, tools, and workflows are built in the future. Benefits Compensation The expected base salary range for this role is CAD $100,000 to $150,000, depending on experience, technical depth, AI workflow experience, and overall fit. Candidates with strong full stack engineering experience, production AI or agentic workflow experience, and the ability to own systems end to end will be considered at the higher end of the range. Benefits · Group Retirement Savings Plan matching and participation. · Comprehensive benefits package, including health, dental, and vision coverage. · Health and Wellness spending account. · Generous time off policies. · Opportunity to build AI-enabled products and workflows with real business impact. · Exposure to live-service games, content production, game operations, and internal platform development. · A high-ownership role with meaningful influence over how AI is adopted across the company. Accessibility and Accommodation Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require accommodation during the hiring process, please contact hr@bigvikinggames.com so we can work with you to support your needs.
Lead Data Scientist
We create amazing games that rank at the top on both iOS & Android, loved and played by 150+ million fans worldwide! Check out our smash-hit games: - Critical Strike - Polygun Arena Now, we're looking for a passionate Lead Data Scientist to join our dynamic team in Istanbul . This is an on-site role in Istanbul, Levent. This is an on-site role, where you will be working 5 days a week from our office in Levent. In this role, we deeply care about your passion for data-driven insights in gaming. We highly encourage you to get familiar with both of our games before you apply and complete your application only if you're genuinely excited to explore their player behavior, in-game metrics, and performance trends to uncover meaningful insights that can drive better decisions. Requirements - Highly proficient in SQL and Python. - Minimum of 3 years of hands-on data science experience in a tech companies preferably within a mobile game company. - Experienced in managing data within cloud warehousing environments such as BigQuery etc. - Excellent communication and collaboration skills to work effectively with cross-functional teams. - Passion and interest for mobile gaming industry trends and user behavior is a plus. Responsibilities - Interpret large datasets to provide actionable insights that shape product roadmaps and strategy - Collaborate with engineers to optimize data pipelines, warehouses, and the overall data architecture. - Conduct exploratory analysis and A/B testing to identify product gaps and seize growth opportunities - Develop visualization suites (dashboards, reports) Benefits - A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver. - Meal Allowance: Enough for a solid, satisfying meal. - Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever. - Private Health Insurance: Complementary private health insurance so you can get care without second thoughts. - Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job. - Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us. - Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us. - Referral Bonus: Introduce great talent to the team and earn a reward when they join. - Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution. - A Culture Built Around Players & Ownership: Curious, collaborative, and focused. We’re here to build great games together. - A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the "zone". - Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind. - Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.
Senior Machine Learning Engineer
We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer , you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced. Core Responsibilities - Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems. Educate the team on what is possible with ML. - Design and deploy LLM techniques, including agentic workflow and toolchain enhancements. - Build pipelines that train on gameplay data and deploy models optimized for real-time inference. Research and implement on-device small language and other local models for scalable incorporation of ML features in the live game experience. - Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments. - Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. - Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. - Stay current with ML and real-time AI trends and ensure performance scalability across platforms. - Mentor other engineers and promote best practices in integrating ML techniques. Core Qualifications - 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. - Strong C++ programming experience . - Proficient in Python and ML libraries such as PyTorch or TensorFlow. - Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. - Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. Plus If - Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). - Experience building or using ML tools in a game development context. - Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. Description - Full-time job with benefits. - Role is on-site in Santa Monica, CA. - Office is located near downtown Santa Monica – near metro and freeways. The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity.
Senior AI Engineer
Summary We are looking for an experienced AI Engineer to join our early stage team. In this role you will build systems and features that support a rich open world in Unreal Engine 5. We are looking for someone who is excited by the unique challenges of open world AI systems and who loves working in a collaborative multi-disciplinary environment. Core Responsibilities - Design, implement, and maintain AI systems, features, and tools that support a dynamic and reactive open world. - Collaborate with design, animation, and gameplay teams to prototype, iterate, and deliver new AI behaviors, abilities, and systemic interactions. - Develop and support AI authoring tools that enable designers to efficiently create, test, and tune behaviors at scale. - Build performant, well-architected C++ systems optimized for large-scale simulation and open-world streaming. - Debug and optimize AI performance across multiple platforms, ensuring stability, scalability, and responsiveness. - Contribute to long-term technical planning for AI systems, including architecture, workflow improvements, and new technology initiatives. - Provide technical mentorship and support to designers and other developers who use the AI systems you build. - Collaborate with technical leaders to uphold engineering best practices, coding standards, and documentation quality. Core Qualifications - 1+ year of professional experience working in Unreal Engine. - 5+ years of professional experience working on large scale games. - Strong working knowledge of Unreal Engine 5 AI tools and systems, such as the following: - Navigation (NavMesh) - Behavior Trees - State Trees - EQS - Perception System - AI Controllers, Blackboards, and related frameworks - Expertise in modern C++ with strong software architecture, debugging, and optimization skills. - Proven ability to design complex systems that are scalable, maintainable, and content-friendly. - Demonstrated experience collaborating across departments and leading cross-functional initiatives involving design, animation, and gameplay engineering. - Excellent communication skills and a collaborative, solution-oriented mindset. Plus If... - Experience building AI for open-world, systemic, or sandbox games. - Familiarity with Mass Entity, crowd systems, or large-scale AI simulation. - Knowledge of animation systems (Montages, Motion Matching, Control Rig) and how they intersect with AI behavior. - Experience developing AI debugging tools or in-editor visualization tools. - Background in machine learning, utility systems, or experimental AI techniques. - Passion for emergent gameplay, systemic design, and building living worlds. Description - Full time job with benefits. - Role is on-site in San Rafael, CA. - Office is located near downtown San Rafael – near transit stations and freeways. The base pay range for this position is $160,000 to $190,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity.
Senior AI Game Designer
Mob Entertainment is a startup multimedia studio that is best known for our hit indie horror game " Poppy Playtime" . This franchise is one of the hottest new properties in gaming, and our team is naturally expanding as our ambition expands. To give a taste of our brand's popularity, more than 100 billion YouTube views of Poppy Playtime related content have occurred since the game's launch 4 years ago. Role Overview We are looking for a Senior AI Game Designer with experience crafting systemic NPC’s for combat and experiential moments . This role is ideal for someone who has worked on narrative or survival-horror titles as well as action/adventure games. You will own designing and implementing AI that will be used in systemic combat encounters as well as narratively driven sequences. You will be collaborating with technical animators and engineers regularly to ensure that your creations can be used as intended in the game. This is a highly hands-on role that blends documentation, technical implementation in Unreal, and collaboration with other disciplines. This role reports to the lead designer and you will frequently be collaborating with the game director and team leadership. Responsibilities - Lead the design of AI including documenting, implementing and balancing - Create behavior graphs for different types of AI - Work with animators and tech anim to create compelling movement and behavior for your creations. - Collaborate with AI engineers on enemy behavior and perception systems - Prototype behavior in blueprint as needed - Create and maintain design documentation on confluence - Break features into actionable Jira tasks and partner with Production on scope and estimates - Proactively seek feedback from the team and iterate on features - Work closely with the level design team to help them integrate AI properly Required Qualifications - 5+ years professional game design experience with at least one shipped title having worked on systemic AI directly - Direct experience designing behavior graphs - Knowledge of Unreal Engine or equivalent visual scripting language - Ability to rapidly prototype and iterate on mechanics - Experience documenting designs clearly and collaborating through Jira/Confluence - Proven ability to own features from concept through ship - Excellent cross-discipline communication skills Preferred Qualifications - Experience in a horror title - Programming understanding - A flair for spectacle and cinematic experiences - Experience with console or PC premium titles What Success Looks Like - You are autonomously driving AI creation by interacting with animators and engineers to move things forward - The systemic AI do not break immersion and add to the atmosphere - Players describe the encounters as interesting, clever and challenging - You set clear goals for yourself and present frequent updates where you update on where things are and where things are going in a way that builds confidence Salary Range The base salary range for this position is listed below. Final compensation within the applicable salary range will be determined based on factors such as the applicant’s experience, qualifications, and work location. San Francisco, CA; New York City, NY; Los Angeles, CA; Seattle, WA; Boston, MA; & DC Metropolitan Areas: $155,000–$177,000 USD annually Austin, TX; Denver, CO; Nashville, TN; Atlanta, GA; Chicago, IL; Dallas, TX; & Miami, FL Metropolitan Areas: $147,000-163,000 USD annually All Other U.S. Locations: $135,000–$150,000 USD annually Benefits Mob Entertainment offers the following benefits to all eligible U.S.-based full-time employees: profit sharing; medical, dental, and vision insurance; 401(k) matching; FSA/HSA; paid time off; sick time; holidays; and parental leave LI-Remote Mob Entertainment is proud to be an equal opportunity workplace and complies with all federal, state, and local laws prohibiting discrimination in employment. We are committed to providing equal opportunities to applicants and employees without regard to race, color, national origin, religion, sexual orientation, gender, age, disability, military service, or any other protected class under applicable state or local law. Mob Entertainment also considers all qualified applicants with criminal histories consistent with Fair Chance laws as well as any other applicable state and local laws.
ML Infrastructure Engineer
About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it. Our infra team is responsible for providing and maintaining scalable infrastructure with high throughput and low latency to our bidding ecosystem. You will be exposed to the whole pipeline of model delivery, including training, serving, and optimizations, etc. The Impact You'll Make - Design, develop, and maintain large-scale distributed systems - Collaborate with various engineering teams to meet a wide range of technological challenges - Work closely with our research science team and backend team to contribute and influence the roadmap of our products and technologies - Influence and inspire team members - Speed up the performance of our online models - Optimize the model delivery pipeline Who You Are - Have 0-2 years of experience and a minimum of a BS and/or MS in Computer Science - Have excellent knowledge of computer science fundamentals including data structures, algorithms, and coding - Good experience with C++, Python and/or Golang is a plus - Experience independently creating and maintaining projects AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $124,000 - $250,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
Indirect Tax Specialist
Join us at Playtika (NASDAQ: PLTK), where we're driven by the belief life needs play. We’re on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide. From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence. Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA. With a strong financial foundation, disciplined operations, unwavering player-focused approach and relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us. The Indirect Tax Senior will report to the Indirect Tax Manager/ VP of Tax and will play a critical role in managing the Company’s growing global Indirect Tax footprint. This is a great opportunity for someone who enjoys working in an extremely dynamic, diverse and fast-paced environment and who is looking to grow themselves as an Indirect Tax professional. Main responsibilities: - Review reporting and compliance obligations for Company’s growing indirect tax (i.e., VAT, GST and other similar taxes) footprint - Coordinate with third-party advisors and compliance teams globally to oversee compliance requirements in the jurisdictions where we operate - Perform indirect tax research on existing and new business offerings - Manage notice resolution process with third-party advisors - Support Indirect Tax Manager with various remediation workstreams to address historical exposures - Review Company’s various tax engines (Vertex, Stripe) to ensure tax is correctly applied to customer sales - Prepare VAT account reconciliations on a quarterly basis for Indirect Tax Manager review - Interface with internal e-payments team, finance department, and external payment processors to address data needs - Serve as a point of contact in conjunction with the Indirect Tax Manager for indirect tax guidance on strategic business initiatives - Support indirect tax manager/ local controllers to address local indirect tax requirements - Coordinate/ communicate with income tax team and local finance departments for global planning and reporting Main requirements: - Bachelor’s degree in Accounting or related field - 2-3 years of relevant Indirect tax experience in Big 4 and/or multi-national public company (emphasis on experience with managing compliance workflows) - Advanced Excel skills - Excellent research and writing skills - Tax research skills in Checkpoint and/or BNA - CPA and/or Master’s degree in Business Taxation is preferred Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice. By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you feel the above describes you perfectly - Apply now! Employee at Playtika? Click here
AI-native Product Designer/Builder
Eneba is a marketplace trusted by 20M+ active users — and we're entering our next phase of scale. We're looking for a designer who doesn't just use AI tools but thinks in them: running research synthesis with AI, accelerating prototyping cycles, and producing handoff-ready specs that engineers can move on immediately. This role sits inside a cross-functional pod owning key marketplace surfaces: discovery, checkout, trust, and growth loops. You'll work on a complex two-sided marketplace where buyer and seller dynamics create genuinely hard design problems and you'll have the autonomy and tooling to solve them fast. Responsibilities - Own end-to-end discovery and delivery for marketplace features within your product pod - Use AI tools to compress research and synthesis cycles — turning user interviews, session data, and analytics into insights in hours, not weeks - Produce engineer-ready handoff specs using AI-assisted documentation and near-code prototyping (e.g. Claude Code/Design) - Redesign and elevate core marketplace journeys: discovery, evaluation, checkout, payments, and trust - Design and iterate on experiments with measurable business outcomes, conversion, retention, GMV - Partner with PMs and engineers in a fast-moving pod with high autonomy and short feedback loops - Raise the bar for craft and design quality across the product organisation Requirements - Active AI fluency - you already use AI for research synthesis, writing design specs, exploring interaction directions, or prototyping. Not curious about it: doing it. - Senior experience designing complex digital products; marketplace or e-commerce background strongly preferred - Comfort with near-code tooling, Cursor, Claude Code or similar, to prototype and validate fast - Strong systems thinking applied to multi-sided marketplace problems: buyer/seller dynamics, trust, payments, and risk - Strong business model understanding and stellar product sense. - Proven ability to design for outcomes, experiments, funnels, and measurable impact, not just deliverables - High ownership and autonomy, you identify the problem, shape the brief, and drive it to shipped - Strong product and commercial judgement; you understand how design decisions affect the business What it’s like to work at Eneba *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
Senior Machine Learning Engineer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities/ 工作职责 : Responsibilities: - Collaborate with stakeholders to understand business objectives and define problems that can be addressed through machine learning and artificial intelligence. - Collect, preprocess, and analyze large datasets to extract meaningful patterns and insights. - Choose appropriate machine learning algorithms based on the nature of the problem, dataset characteristics, and desired outcomes. - Develop and train machine learning models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch. - Identify and engineer relevant features from the data to enhance the predictive capabilities of machine learning models. - Integrate machine learning models into existing systems or develop new applications that leverage machine learning capabilities. - Optimize machine learning solutions for scalability and efficiency, particularly when dealing with large-scale datasets or real-time applications. - Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts. - Stay informed about the latest advancements in machine learning, artificial intelligence, and related technologies. - Address ethical considerations related to bias, fairness, and privacy in machine learning models. - Maintain comprehensive documentation for machine learning models, including code, model architectures, and parameters. - Implement security measures to protect machine learning models and data from potential vulnerabilities. - Establish monitoring mechanisms to track the performance of deployed machine learning models over time. Requirements: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python or R. - Experience with machine learning frameworks like TensorFlow or PyTorch. - Strong understanding of statistical analysis and data mining techniques. - Ability to preprocess and analyze large datasets. - Experience in developing and deploying machine learning models to production environment that serve millions of end users. - Familiarity with software development practices and version control systems. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. Preferred Qualifications: - Experience with deep learning architectures and algorithms. - Knowledge of big data tools and platforms. - Familiarity with cloud services related to machine learning. - Publications or contributions to the machine learning community. - Proven track record of implementing, maintaining and optimizing production machine learning models. 岗位职责： - 与相关利益方合作，理解业务目标，并定义可通过机器学习和人工智能解决的问题。 - 收集、预处理和分析大规模数据集，以提取有意义的模式和见解。 - 根据问题类型、数据集特性和预期结果选择合适的机器学习算法。 - 使用Python 或 R等编程语言以及TensorFlow 或 PyTorch等框架开发和训练机器学习模型。 - 识别和工程化关键特征，以增强机器学习模型的预测能力。 - 将机器学习模型集成到现有系统，或开发新的应用程序以利用机器学习能力。 - 针对大规模数据集或实时应用场景，优化机器学习解决方案，提升可扩展性和计算效率。 - 与跨职能团队（如数据科学家、软件工程师、业务分析师）协作。 - 关注机器学习、人工智能及相关技术的最新进展。 - 解决机器学习模型中涉及的公平性、偏差和隐私保护等伦理问题。 - 维护机器学习模型的全面文档，包括代码、模型架构和参数。 - 实施安全措施，保护机器学习模型和数据免受潜在漏洞的影响。 - 建立监控机制，持续跟踪已部署机器学习模型的运行表现。 岗位要求： - 计算机科学、数学、统计学或相关领域的学士或硕士学位。 - 熟练掌握Python 或 R等编程语言。 - 具备使用TensorFlow 或 PyTorch等机器学习框架的经验。 - 深入理解统计分析和数据挖掘技术。 - 能够预处理和分析大规模数据集。 - 具备开发和部署机器学习模型到生产环境的经验，能够支持百万级终端用户。 - 熟悉软件开发实践和版本控制系统。 - 具备优秀的问题解决能力和高度的细节关注度。 - 具备良好的沟通能力和团队协作能力。 优先条件： - 具备深度学习架构和算法的经验。 - 了解大数据工具和平台。 - 熟悉云服务中的机器学习解决方案。 - 在机器学习领域有论文发表或社区贡献经验。 - 具备实施、维护和优化生产环境机器学习模型的成功案例。 Pre-Requisites/ 任职要求 : Are you game?
Senior Machine Learning Engineer
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities/ 工作职责 : Responsibilities: - Collaborate with stakeholders to understand business objectives and define problems that can be addressed through machine learning and artificial intelligence. - Collect, preprocess, and analyze large datasets to extract meaningful patterns and insights. - Choose appropriate machine learning algorithms based on the nature of the problem, dataset characteristics, and desired outcomes. - Develop and train machine learning models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch. - Identify and engineer relevant features from the data to enhance the predictive capabilities of machine learning models. - Integrate machine learning models into existing systems or develop new applications that leverage machine learning capabilities. - Optimize machine learning solutions for scalability and efficiency, particularly when dealing with large-scale datasets or real-time applications. - Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts. - Stay informed about the latest advancements in machine learning, artificial intelligence, and related technologies. - Address ethical considerations related to bias, fairness, and privacy in machine learning models. - Maintain comprehensive documentation for machine learning models, including code, model architectures, and parameters. - Implement security measures to protect machine learning models and data from potential vulnerabilities. - Establish monitoring mechanisms to track the performance of deployed machine learning models over time. Requirements: - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python or R. - Experience with machine learning frameworks like TensorFlow or PyTorch. - Strong understanding of statistical analysis and data mining techniques. - Ability to preprocess and analyze large datasets. - Experience in developing and deploying machine learning models to production environment that serve millions of end users. - Familiarity with software development practices and version control systems. - Excellent problem-solving skills and attention to detail. - Strong communication and teamwork abilities. Preferred Qualifications: - Experience with deep learning architectures and algorithms. - Knowledge of big data tools and platforms. - Familiarity with cloud services related to machine learning. - Publications or contributions to the machine learning community. - Proven track record of implementing, maintaining and optimizing production machine learning models. 岗位职责： - 与相关利益方合作，理解业务目标，并定义可通过机器学习和人工智能解决的问题。 - 收集、预处理和分析大规模数据集，以提取有意义的模式和见解。 - 根据问题类型、数据集特性和预期结果选择合适的机器学习算法。 - 使用Python 或 R等编程语言以及TensorFlow 或 PyTorch等框架开发和训练机器学习模型。 - 识别和工程化关键特征，以增强机器学习模型的预测能力。 - 将机器学习模型集成到现有系统，或开发新的应用程序以利用机器学习能力。 - 针对大规模数据集或实时应用场景，优化机器学习解决方案，提升可扩展性和计算效率。 - 与跨职能团队（如数据科学家、软件工程师、业务分析师）协作。 - 关注机器学习、人工智能及相关技术的最新进展。 - 解决机器学习模型中涉及的公平性、偏差和隐私保护等伦理问题。 - 维护机器学习模型的全面文档，包括代码、模型架构和参数。 - 实施安全措施，保护机器学习模型和数据免受潜在漏洞的影响。 - 建立监控机制，持续跟踪已部署机器学习模型的运行表现。 岗位要求： - 计算机科学、数学、统计学或相关领域的学士或硕士学位。 - 熟练掌握Python 或 R等编程语言。 - 具备使用TensorFlow 或 PyTorch等机器学习框架的经验。 - 深入理解统计分析和数据挖掘技术。 - 能够预处理和分析大规模数据集。 - 具备开发和部署机器学习模型到生产环境的经验，能够支持百万级终端用户。 - 熟悉软件开发实践和版本控制系统。 - 具备优秀的问题解决能力和高度的细节关注度。 - 具备良好的沟通能力和团队协作能力。 优先条件： - 具备深度学习架构和算法的经验。 - 了解大数据工具和平台。 - 熟悉云服务中的机器学习解决方案。 - 在机器学习领域有论文发表或社区贡献经验。 - 具备实施、维护和优化生产环境机器学习模型的成功案例。 Pre-Requisites/ 任职要求 : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Senior Data Scientist (Generative AI)
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : This role will focus on designing and developing GenAI-driven solutions for interactive systems and developer-facing tools. The ideal candidate will have strong expertise in GenAI technologies, including large language models, retrieval-augmented generation (RAG), and agentic workflows, with experience building scalable and production-ready AI services. This role involves working closely with data engineers, software engineers, and game developers to deliver robust AI tools, manage production pipelines, and enable fast iteration in real-world environments. Essential Duties and Responsibilities - Design, develop, and maintain GenAI solutions for developer tools and interactive applications. - Build and extend RAG-based systems, including retrieval pipelines, indexing strategies, and prompt orchestration. - Develop agentic workflows and GenAI packages to support reasoning, planning, and tool-based execution patterns. - Collaborate with software engineering teams to design and manage production pipelines for GenAI microservices. - Work with data engineering teams to define data schemas, ingestion pipelines, and validation strategies for structured and unstructured data used by GenAI systems. - Fine-tune and adapt large language models for domain-specific tasks and performance requirements. - Partner with AI engineers to evaluate GenAI system performance using task-specific metrics, benchmarks, and qualitative analysis. - Optimize GenAI services and pipelines for latency, scalability, reliability, and cost efficiency in production environments. - Assist in the deployment, monitoring, and maintenance of GenAI services in cloud-based infrastructures. - Document system designs, workflows, experiments, and implementation details for internal knowledge sharing. - Stay updated on emerging trends and advancements in GenAI, LLMs, and agent-based systems through research and experimentation. - Consider ethical, legal, and regulatory implications in the development and deployment of AI systems. Pre-Requisites : Qualifications - Proven experience in developing and deploying applied machine learning or Generative AI systems in real-world applications. - Proficiency in Python; experience with additional languages is a plus. - Strong understanding of LLMs, prompt engineering, retrieval systems, and agent-based architectures. - Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. - Experience building and evaluating RAG pipelines, GenAI tools, or AI-powered microservices. - Familiarity with cloud-based AI platforms and production ML workflows for training, evaluation, and deployment. - Ability to evaluate and optimize model performance using task-specific metrics and benchmarks. - Strong analytical and problem-solving skills. - Excellent written and verbal communication skills across technical and non-technical teams. Preferred - Experience building RAG microservices, agent frameworks, or modular GenAI tooling. - Exposure to multi-GPU training, distributed experiments, or large-scale model fine-tuning. - Experience with AWS SageMaker or similar managed ML platforms. - Awareness of emerging GenAI techniques, including tool-using agents, function calling, and planning-based workflows. Education & Experience - Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.). - 2+ years of applied experience in machine learning or Generative AI (academic or industry). Travel Requirements Role based in Singapore office, with occasional travel (up to 1 trip per year ) for conferences, research collaborations, or business meetings. Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
Senior AI Engineer (Applied)
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally. Job Responsibilities : We are looking for a Senior Applied AI Engineer to lead the design, evaluation, and delivery of AI solutions across AI-powered gaming and platform use cases. In this role, you will operate at the intersection of applied machine learning, systems engineering, and product decision-making, owning end-to-end AI workflows, from experimentation and benchmarking through to system design, deployment, and iteration. You will work closely with software engineers, product managers, Data Scientist and Data Engineers to deliver scalable, reliable, production-ready AI systems. Essential Duties and Responsibilities - Own the design and execution of evaluation and benchmarking frameworks across AI/ML systems (text, vision, generative AI), including metrics, thresholds, and failure analysis covering quality, latency, reliability, and cost - Architect and develop scalable, observable AI services and reusable platforms (evaluation tools, benchmarking services, microservices) that support multiple product teams - Design and build GenAI-driven systems, including RAG pipelines and agentic workflows, optimizing for real-world constraints such as performance, scalability, and operational reliability - Drive best practices in experimentation, versioning, reproducibility, and service reliability across applied AI systems - Partner with product managers to evaluate AI-driven features, define success criteria, and assess feasibility and trade-offs - Lead technical exploration and market scanning of emerging AI, GenAI, and agentic tools, providing data-backed recommendations on build vs partner vs hybrid approaches - Collaborate closely with software and data engineering teams to integrate AI systems into broader product architectures - Mentor junior engineers and interns, and communicate complex technical concepts clearly to both technical and non-technical stakeholders Qualifications - 3+ years of experience in Applied AI, Machine Learning Engineering, or AI Systems Engineering - Ability to work in fast paced, high pressure, agile environment. - Proactive and strong communication skills with the ability to explain technical decisions to both technical and non-technical stakeholders - Strong foundation in machine learning evaluation, experimentation, and statistical reasoning - Hands-on experience with NLP, computer vision, or generative AI systems in real-world applications - Proven ability to design and deliver production-grade AI services under constraints such as latency, reliability, and cost - Strong programming skills in Python and solid software engineering fundamentals (API design, modular codebases, testing) - Experience building backend services for AI systems (e.g. FastAPI, NodeJS, or similar) - Experience deploying AI workloads on cloud platforms (AWS, GCP, or Azure) - Familiarity with containerization and orchestration tools (Docker, Kubernetes) Education & Experience - Familiarity with containerization and orchestration tools (Docker, Kubernetes) Travel Requirements - Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings. Pre-Requisites : Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best. Are you game?
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