Browse AI Jobs — Page 272

By DisneyJul 25, 2026

Machine Learning Engineer, Capital Underwriting

Negotiable

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Capital provides access to fast, flexible financing to small-and-medium businesses on Stripe to accelerate their growth, and we lent over $1B in 2024. Businesses use the funds for marketing, team growth, geographic expansion, working capital, new equipment purchases, and much more. Machine learning is core to Stripe Capital’s business—we use information about businesses from their activity within and outside of Stripe and our models to automatically underwrite uniquely tailored financing offers to their needs, which banks are often unable to do. We are doing so through models with an established performance history, data infrastructure that is Stripe scale, and a strong feedback loop that includes explainability, anomaly detection and a risk portfolio management layer. We're an end-to-end team going from ideas to models to shipping in production. What you’ll do As a machine learning engineer for Stripe Capital, you'll be responsible for designing, building, training, evaluating, deploying, and owning ML models in production with the goals of providing financing opportunities to as many users as possible while satisfying financial performance goals. You'll work closely with software engineers, data scientists, product managers, and risk managers to operate Stripe’s ML powered systems, features, and products. You'll also contribute to and influence ML architecture at Stripe and be a part of a larger ML community. Responsibilities - Design state-of-the-art ML models and large scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints - Design systems to speed up the time from idea to deployment of new models - Experiment and iterate on ML models (using tools such as PyTorch and TensorFlow) to achieve key business goals and drive efficiency - Develop pipelines and automated processes to train and evaluate models in offline and online environments - Integrate ML models into production systems and ensure their scalability and reliability - Collaborate with product and strategy partners to propose, prioritize, and implement new product features - Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions Who you are We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment. We’re looking for someone who can bring new ideas to the table on building models able to push the state of the art at Stripe, especially within the regulatory and operational constraints of a financin

👤 HumanFull-timeSenior

By StripeJul 25, 2026

Lead Machine Learning Engineer

Negotiable

Job Posting Title: Lead Machine Learning Engineer Req ID: 10143264 Job Description: This is not a remote role. You must be in the local area or willing to relocate. Department/Group Overview: The cross-media measurement and advanced analytics organization is responsible for data strategy & management, cross-platform content measurement, Content marketing measurement, and linear and digital inventory forecasting. The team provides advanced analytics and actionable insights related to Disney entertainment's content, monetization, and audience development. The Data and Analytics Operations team is part of the Cross-Media Measurement and Advanced Analytics organization (CMMAA) . Reporting to the Executive Director of Data and Analytics Operations, this team leverages advanced machine learning techniques to deliver a robust suite of analytics solutions. Their portfolio includes descriptive, predictive, and prescriptive analytics, underpinned by strong data management practices and an interoperability layer. These capabilities are structured to support a range of business goals, such as content production, marketing and monetization. Job Summary: The Lead Machine Learning Engineer is a senior individual contributor who provides technical leadership for complex machine learning systems and the data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning/neural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture and standards for ML pipelines that capture, manage, store, and utilize large-scale structured and unstructured data, ensuring data integrity, interoperability, and reliability across production environments. Responsibilities and Duties of the Role: • Lead development, training, and deployment of advanced ML models for identity resolution, look-alike modeling, and cross-platform measurement; translate algorithms into production-quality code; optimize for scale and performance. • Architect scalable ML platforms and reusable components (training/inference pipelines, feature/label foundations, model serving patterns) that operate across distributed cloud and platform environments • Lead data and feature foundations: define data contracts, metadata/lineage expectations, and automated quality controls to maintain data integrity across structured/unstructured sources in Snowflake/Databricks. • MLOps & reliability: establish CI/CD patterns, model versioning/registry practices, automated evaluation, drift detection, monitoring dashboards/alerts, and operational playbooks for sustained production health. • Cross-functional technical leadership: drive design reviews, clarify technical requirements, and lead multi-quarter initiatives with product, analytics, and platform engineering stakeholders. • Mentorship & enablement: mentor engineers through code/design reviews; build shared libraries and best practices to improve team velocity and quality. • Privacy, governance & compliance: ensure privacy-by-design practices, PII safeguards, documentation, and audit readiness across ML workflows (GDPR/CCPA). Required Education, Experience/Skills/Training: Minimum Qualifications: • Must have strong production experience with deep-learning, genAI, or retrieval-augmented systems (PyTorch, vector databases) and real-time data pipelines (Kafka, Pub/Sub, Kinesis) • Must have 7+ years of professional experience delivering production ML systems (models + pipelines + monitoring) at scale • Must have advanced coding skills in Python and SQL; strong software engineering discipline (testing, CI/CD, code review, design documentation) • Must have demonstrated experience applying ML techniques in code to develop predictive systems at scale (including deep learning where appropriate) • Must have hands-on expertise with cloud-native data platforms and distributed compute (Snowflake/Databricks/Spark/BigQuery) and container orchestration (Docker/Kubernetes) • Proven ability to lead technical initiatives across teams and influence architecture and standards Preferred Qualifications: • 8+ years total experience, with hands-on work in media, advertising technology, or cross-platform audience measurement • Strong understanding with modern MLOps stacks (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) and model-governance practices (metadata, lineage, drift detection) • Certifications such as Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or equivalent cloud/data credentials • Contributions to open-source ML or data-engineering projects, conference presentations, or peer-reviewed publications • Experience in media/ad tech, identity graphs, audience measurement, or interoperability layers • Experience with modern MLOps platforms (MLflow, Kubeflow, Vertex AI, SageMaker) and model governance practices Required Education: • Bachelor's degree in a relevant technical or science field (e.g. computer science, data science, mathematics, or a related discipline) Preferred Education: • Master’s degree or PhD in a relevant field (e.g., Applied Math, Computer Science, Computational Science, Operation Research, Data Science) DISNEYTECH The hiring range for this position in New York City is $179,700.00 - $225,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Networks and News Groups Job Posting Primary Business: Research, Insights & Analytics Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-02-25

👤 HumanFull-timeSenior

By DisneyJul 25, 2026

Lead Machine Learning Engineer, Ads Research

Negotiable

Job Posting Title: Lead Machine Learning Engineer, Ads Research Req ID: 10142044 Job Description: Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: - Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. - Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. - Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications. WHAT YOU’LL DO - Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. - Create, evaluate, improve, optimize technologies - Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. - Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. - Design, build, and scale robust ML systems that power core ad platform capabilities - Champion engineering excellence through best practices in code quality, system design, and operational reliability. - Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. WHAT TO BRING - Bachelor's in computer science or equivalent experience. - Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows. - Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. - Experience developing language-processing applications via LLMs or agentic flows. - Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. - Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. - Strong knowledge of AI/ML technologies, mathematics and statistics. - Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. - Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL - Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. - Expert knowledge with traditional (tabular) ML modeling and methods. - Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. - A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. - Experience working closely with UX and front end designers building production generative AI products. NICE-TO-HAVES - MS or PhD (preferred) in computer science or equivalent experience. - Experience with multimodal models and embedding techniques. - Computer vision or visual content understanding experience. - Experience in digital video advertising or digital marketing domain. Location : Seattle / Santa Monica / Glendale DISNEYTECH The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Seattle, WA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway Date Posted: 2026-02-05

👤 HumanFull-timeSenior

By DisneyJul 25, 2026

Sr Data Engineer

Negotiable

Job Posting Title: Sr Data Engineer Req ID: 10145881 Job Description: The Senior Data Engineer will design, build, and operate scalable data pipelines and data products in AWS and Snowflake that power analytics, reporting, and machine learning use cases across Disney Experiences. This role implements, troubleshoots, and optimizes distributed solutions using technologies such as SQL, S3, Glue, and Snowflake, and solves large-scale processing challenges in a cloud data warehouse environment. The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies technical expertise to challenging engineering problems and demonstrates strong communication, collaboration, and teamwork skills within an Agile environment. What You'll Do: - Design, develop and maintain data pipelines in AWS & Snowflake - Design and develop curated datasets, data models, and data products; assist with architecture decisions, deployment, and feedback - Debug and troubleshoot across a broad technical stack - Demonstrated ownership of data products and ability to partner with business stakeholders in large-scale enterprise environments - Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions Required Qualifications & Skills: - 5+ years of professional data engineering experience in a cloud-based data warehouse environment - Strong knowledge of Python and object-oriented programming concepts - Working knowledge of Java sufficient to troubleshoot and maintain existing applications - Proficiency with GitHub - Experience leveraging modern developer productivity tools, including AI-assisted coding tools such as Cursor, GitHub Copilot, or similar solutions - Experience building data pipelines and complex data transformations - 5+ years of professional experience in data engineering, including designing, developing, and operating of cloud-based data solutions using AWS services such as S3, Glue, Lambda, Step Functions, EventBridge, Kinesis, or similar cloud-native data engineering technologies - Solid working experience with Snowflake native objects and features - Working knowledge of Data Build Tool (dbt) - 5+ years of experience in software development in an agile environment - Production experience with infrastructure-as-code tools such as Terraform or AWS CDK - Strong conceptual understanding of security at rest and in transit for big data pipelines - Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in complex situations - Strong systems and data analysis skills, and experience with data unit and integration testing Required Education - Bachelor’s Degree in Computer Science, Distributed Computing, Machine Learning, Mathematics, Information Systems, Engineering, Data Science or related field The hiring range for this position in California is $135,200.00 to $181,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: DX Technology Job Posting Primary Business: Emerging Tech & Data Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2026-04-13

👤 HumanFull-timeSenior

By DisneyJul 25, 2026

AI Risk & Compliance Analyst

Negotiable

AI Risk & Compliance Analyst at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Governance, Risk Analysis, Cyber Security, Analytical Thinking, Policy Development, Data Governance, Trend Analysis, Collaboration, Incident Response. Locations: Boston, MA, USA. Work mode: on site.

👤 HumanFull-timeMid

By WHOOPJul 25, 2026

Lead Product Manager, Data & AI Integration, Techn...

Negotiable

Job Posting Title: Lead Product Manager, Data & AI Integration, Technology VMO (Project Hire) Req ID: 10149245 Job Description: At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology & Data mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Team Description: The Technology Process and Performance organization partners across all organizations to drive process efficiencies and effectiveness by measuring the organization's performance and driving excellence. As part of the TP&P team, the Technology Vendor Management Office (VMO) is dedicated to enhancing the efficiency and effectiveness of vendor-related processes across our organization. As part of this mission, the VMO aims to leverage data-driven insights to optimize vendor management, streamline operations, and support informed decision-making. The Lead Product Manager, Data & AI Integration, VMO Transformation owns the strategy, roadmap, and execution of the Technology VMO, Sourcing and Business Management data and AI capabilities that enable vendor management optimization, cost transparency, and operational decision making. The Lead Product Manager, Data & AI Integration, VMO Transformation focuses on delivering end-to-end visibility into demand, spend, cost drivers, and performance, enabling leaders to manage vendor portfolios with greater financial discipline and clarity. Operating as a senior individual contributor, this role partners across VMO, finance, sourcing, business operations, and technology to translate complex cost, demand, and performance needs into durable data and AI enabled product capabilities, integrating the enterprise data & AI strategy to drive standardization, transparency, and optimization across vendor related operations while reducing manual effort and reconciliation. This is a project hire role with an expected assignment length of 24 months . What You’ll Do: - Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency. - Drive outcome based prioritization across initiatives (e.g., cost transparency, spend visibility, performance insights, workflow automation), balancing stakeholder needs, feasibility, and measurable impact. - Translate business and operational needs into epics, user stories, acceptance criteria, and a prioritized backlog, partnering with delivery teams through refinement and release planning. - Define and deliver product capabilities that enable vendor performance visibility, portfolio insights, and spend transparency, including clear success criteria and user outcomes. - Define data requirements and integration needs, enabling reliable, analytics ready views across systems to support planning, forecasting, and performance tracking. - Support delivery of AI ‑ assisted capabilities (e.g., forecasting, anomaly detection, insight summarization) within established platforms, standards, and guardrails. - Lead ongoing backlog management, UAT, and release readiness, accountable for adoption and delivery of measurable business outcomes. - Communicate product plans, trade ‑ offs , risks, and insights clearly to business and technical stakeholders. - Facilitate alignment across cross ‑ functional partners with differing priorities through structured discussions and clear decision framing. - Support governance, controls, and compliance requirements related to data, financial transparency, and operational processes. - Help drive adoption of new product capabilities and workflows through clear documentation, enablement, and change support. - Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, and post ‑ implementation review. Required Qualifications & Skills: - Minimum of 7+ years of technical product management or relevant experience. - Demonstrated experience owning product vision, strategy, and roadmaps for data integration, analytics, and AI ‑ enabled solutions within a defined product area. - Strong background in standardizing, automating, and optimizing vendor management and financial workflows to improve efficiency and transparency. - Ability to design and deliver capabilities for vendor performance management, portfolio optimization, and spend visibility. - Experience supporting cost transparency and auditable financial processes, including demand, consumption, and cost tracking. - Skilled in establishing standardized data taxonomies and definitions to enable consistent reporting and AI readiness. - Proficient in defining data integrations and analytics to support planning, forecasting, and performance measurement. - Ability to identify , prioritize, and help deliver business relevant , explainable AI use cases aligned to operational and financial needs. - Strong execution skills, including translating requirements into user stories, acceptance criteria, and prioritized backlogs. - Experience measuring post ‑ implementation impact, such as improvements in cost transparency, forecast accuracy, and decision speed. - Strong advisory, communication, and stakeholder management skills, with comfort supporting executive ‑ level reporting and cross ‑ functional collaboration. - Solid understanding of financial controls, auditability, security, and responsible data and AI usage in enterprise settings. - Ability to define, monitor , and support continuous improvement using KPIs related to cost transparency, vendor performance, and optimization outcomes. - Experience working with data products delivered on Snowflake, including understanding how data is modeled, governed, and consumed for analytics, reporting, and operational insights. - Experience partnering with analytics teams to deliver dashboards and KPIs using Power BI and/or Tableau , including defining requirements, metrics, and consumption patterns. - Experience managing product roadmaps, backlogs, user stories, and delivery artifacts using standard product management and Agile delivery tools. Preferred Qualifications: - Experience with leading complex integration of data products. - Familiarity using enterprise data catalogs such as Alation . - Familiarity with adjacent enterprise data platforms such as Databricks . - Experience working within enterprise data governance, security, and confidentiality standards . - Experience with complex contract billing structures (Fixed vs. Variables and Resource Units measurement), and deep expertise in process and tools leveraged for vendor reporting and invoicing. - Advanced degree (e.g., MBA, MS) preferred but not required . Education: - Bachelor’s degree in Business , Technology, Computer Science, Information Systems, Engineering, or comparable field of study, and/or equivalent work experience DISNEYTECH The hiring range for this position in Burbank, CA is $141,900 to $190,300 per year, in Orlando, FL is $135,200 to $181,200 per year and in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Enterprise Technology and Data Job Posting Primary Business: Technology Processes & Performance Primary Job Posting Category: Product Management Solutions Employment Type: Full time Primary City, State, Region, Postal Code: Burbank, CA, USA Alternate City, State, Region, Postal Code: USA - FL - Kirkman Point 1, USA - WA - 925 4th Ave Date Posted: 2026-05-12

👤 HumanFull-timeSenior

By DisneyJul 25, 2026

Lead Machine Learning Engineer

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ONLINE INFRASTRUCTURE What We Do We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world. What You'll Do Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems. Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth. Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms: - AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc. - EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale - AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration - Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads - Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization - Roost — cryptographically signed software distribution and the Claude Code plugin marketplace This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact. As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a coordinator role. You'll write production code, design protocols, make the calls that determine how agents authenticate and what they're allowed to do, and be accountable for the reliability of systems that are actively used by Epic's engineering organization. In this role, you will - Platform Architecture & Technical Leadership: - Own the end-to-end technical architecture across Epic's AI Infrastructure Platforms — ensuring each platform is coherent with the others and that the integration seams are well-defined - Drive architectural decisions for agent identity and workload authorization (SPIFFE/SPIRE, OIDC, token exchange, policy planes), translating security requirements into implementable designs - Establish the patterns for how AI agents authenticate, receive credentials, execute tools, and are audited — and hold the bar for correctness across the stack - Lead design reviews for new capabilities, evaluate build vs. buy decisions, and surface technical risk before it becomes production risk - Distributed Systems & Infrastructure: - Design and implement the Cluster API and provider abstractions for EMA — the layer that orchestrators depend on to launch, drive, and recover headless agent runs across Kubernetes, EC2, and other compute backends - Evolve Epic's AI MCP Gateway plugin runtime (WASM, gRPC sidecar, subprocess multiplexer) and its gateway security posture as external tool surface area grows - Architect Epic's knowledge graph, vector search, and memory consolidation pipeline for org-wide scale — across teams, scopes, and retention horizons - Define durability, consistency, and isolation requirements across event-driven architectures (NATS JetStream, Redis) shared by multiple agent platforms - Security & Trust: - Lead the AI NHI Identity proposal from strategy into staffed execution — defining the separation of AI MCP Gateway (human/tool) and (agent identity) and migrating the existing credential vault - Hold the standard for credential security across the stack: AES-256-GCM vault, AAD binding, scope isolation, default-deny policy, and audit completeness - Work with Epic's security organization to ensure agent-to-service trust models meet enterprise standards - Cross-Team Influence & Mentorship: - Partner with product, ML, and enterprise platform teams to shape how agent capabilities are exposed to Epic's broader engineering organization - Mentor senior and staff engineers across the team; conduct technical interviews and raise the hiring bar - Write design documents that become the reference architecture for future work, not just approvals for current work What we're looking for - 12+ years of software engineering experience, with at least 4 years at staff or principal scope - Deep expertise in distributed systems: event-driven architectures, durable execution, service mesh, and multi-tenant platform design - Production experience with authentication and authorization infrastructure — OAuth 2.0, OIDC, SPIFFE/SPIRE or equivalent workload identity, token exchange (RFC 8693), and policy engines (OPA, OpenFGA, or comparable) - Strong security engineering fundamentals: credential vaulting, secrets management (OpenBao/Vault), audit trail design, and least-privilege access at scale - Fluency in at least one compiled, systems-capable language (Go preferred, Rust or C++ acceptable); comfort reading and writing Go microservices is essential given the stack - Track record of owning multi-service platform architecture across a full product lifecycle — from design through sustained production operation - Exceptional written communication: design documents and architecture reviews that are clear, precise, and influence without authority - Hands-on experience building LLM-integrated systems: agent orchestration, tool-use frameworks, MCP (Model Context Protocol), or equivalent agent-to-tool middleware - Experience with plugin or extension runtime design — WASM sandboxing, gRPC sidecar patterns, subprocess isolation, or comparable capability security models - Familiarity with knowledge graph systems (Neo4j or comparable), vector databases, and hybrid retrieval (semantic + keyword + graph), as well as experience operating Kubernetes-based platforms: scheduling, workload identity, sidecar injection, and multi-tenancy isolation EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

👤 HumanFull-timeExpert / Staff+

By Epic GamesJul 25, 2026

AI Innovation and Enablement Specialist

Negotiable

Lovehoney Group is the world’s leading sexual wellbeing company, with the mission to elevate pleasure through innovative technologies, a data-driven approach, and foster creative and fresh perspectives on intimacy. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a streamlined online shopping experience. At Lovehoney, we employ over 800 passionate and progressive individuals across 11 global offices, each person contributing a unique blend of talents to our diverse workforce. We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives. Join us at Lovehoney, where pleasure combines with creativity, data, and innovation! We are currently looking for an AI Innovation and Enablement Specialist who will drive AI adoption across the organization and oversee the effective rollout of AI capabilities in all functions. In this role, you will lead the implementation of Claude Enterprise, rolling it out function by function through a structured Champions Programme. You will work closely with teams to map and redesign processes with an AI-first mindset, configure skills and MCP connections, and develop tailored learning paths. Additionally, you will facilitate brainstorming sessions with teams, monitor adoption, and track the organization’s overall AI maturity to ensure sustainable impact. What you will do Partner with teams to identify AI opportunities, map workflows, and translate needs into clear use cases. Drive AI adoption through workshops, hands-on guidance, and the development of a Champions Programme. Support teams in becoming confident users of AI and guide AI-driven process changes among cross-functional teams. Monitor AI trends and share relevant, actionable insights internally. Configure and customize MCP servers, creating and managing AI skills and agents, and customising tools like Claude Code, Claude Co-work, or Claude Projects meet team and business needs. Act as a bridge between business teams and AI implementation, contributing hands-on to solutions. What you should bring Bachelor’s or Master’s degree in a relevant field (e.g. business, economics, or digital disciplines). Regular user of AI tools (e.g., Claude, Chat GPT) with the ability to customize and configure beyond basic use. Comfortable working hands-on with AI tools, including skills, agents, and custom set-ups. Strong and confident communicator and facilitator, experienced in leading workshops and engaging both technical and non-technical audiences. Experience or strong interest in driving change and AI adoption across teams. Able to build and sustain a network of internal AI advocates. Curious and analytical, with the ability to map processes and identify inefficiencies. Skilled at translating needs into clear, actionable requirements. Solid technical foundation with practical, hands-on AI experience (formal or self-taught). Able to collaborate effectively with technical teams and motivated to take ownership and make a visible impact. Proactive, self-driven learner with a strong curiosity for AI, and creative problem-solver who naturally leverages AI tools. What we can offer you A competitive salary that values your skills and expertise, because we know you deserve it. Secure your financial future with a comprehensive pension scheme, so you can enjoy peace of mind knowing you are taken care of. Keep your mind and body in top shape with a health cash plan and gym discounts, with £15 a month towards the gym of your choice. Treat yourself and your loved ones with our generous staff discounts and be rewarded for your hard work with our fantastic annual bonus scheme. Work with a company that cares about your well-being and success and join our supportive and dynamic team. Stay secure at work and at home with a complimentary 1Password Family account. All Lovehoney Group employees can invite up to five family members t

👤 HumanFull-timeMid

By Lovehoney GroupJul 25, 2026

Machine Learning Engineer II (Servicing ML)

Negotiable

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Servicing ML team, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks to make the best decisions for Affirm and our customers. You will work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring. What you'll do - You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers. - You will build models that automate refunds, getting money back to our customers faster. - You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs. - You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer - Strong Python skills and experience writing production-quality code - Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost). - Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph. - Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar). - Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms). - Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows. - You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. - You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. - Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. - You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - L Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors,

👤 HumanFull-timeRemoteMid

By AffirmJul 25, 2026

AI Programmer

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and iteration between gameplay programmers, designers, and artists. You will play a critical role in driving future gameplay AI features in Fortnite. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and use rapid prototyping while ensuring that strong architectural and algorithmic decisions are made - Drive, build and maintain core AI systems in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.) - Strong C++ skills and the ability to code and architect AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, strong work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

👤 HumanFull-timeSenior

By Epic GamesJul 25, 2026

AI Programmer

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and iteration between gameplay programmers, designers, and artists. You will play a critical role in driving future gameplay AI features in Fortnite. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and use rapid prototyping while ensuring that strong structural and algorithmic decisions are made - Drive, build and maintain core AI systems in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.) - Strong C++ skills and the ability to code and design AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, strong work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

👤 HumanFull-timeSenior

By Epic GamesJul 25, 2026

AI Programmer

Negotiable

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and iteration between gameplay programmers, designers, and artists. You will play a critical role in driving future gameplay AI features in Fortnite. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and use rapid prototyping while ensuring that strong architectural and algorithmic decisions are made - Drive, build and maintain core AI systems in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.) - Strong C++ skills and the ability to code and architect AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, strong work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees (EEs) and dependents (deps). Our current benefits package includes coverage for medical, dental, and life insurance. We also offer supplemental benefits including daily meal vouchers, and commuter benefits for onsite employees. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .

👤 HumanFull-timeSenior

By Epic GamesJul 25, 2026

Manager, Legal Programs (Privacy & AI)

Negotiable

Manager, Legal Programs (Privacy & AI) at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Health Care, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App, Telehealth, Wellness. Skills: Privacy Law, Stakeholder Management, Software Project Management, Time Management, Problem Solving. Locations: United States, Remote. Work mode: remote.

👤 HumanFull-timeRemoteMid

By Hims & HersJul 25, 2026

Senior Generative AI Designer / Artist

Negotiable

Scopely is looking for a Senior Generative AI Designer / Artist to join our Marketing team Flamed in Barcelona Office on a Hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. We are the in-house creative agency Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games' marketing needs worldwide. What You Will Do This role requires someone comfortable working at a fast production pace, combining AI-assisted workflows, strong layout skills, polished image execution, and medium-level video editing capabilities. You will join our Arts & Animation Pod in Barcelona to create high-quality creative assets for some of the top mobile games in the world, including UA ads, ASO/store assets, social media content, key visuals, video templates, storyboards, and performance-driven iterations. - Produce high-quality static and video marketing assets from briefs, benchmarks, and creative direction. - Create polished graphic layouts, templates, key visuals, store assets, SoMe posts, and UA creatives. - Develop video templates, key frames, simple edits, storyboards, and performance variations for short-form marketing content. - Use AI tools as part of the creative process, refining outputs through prompt iteration, compositing, paintovers, retouching, and final polish. - Work mainly with Photoshop, and use Premiere and After Effects for editing, timing, keyframes, and template adaptation. - Collaborate with the Lead Artist, Art Director, and wider creative teams to ensure assets align with brand guidelines, art direction, storytelling, and production standards. - Participate in brainstorms and creative exploration, including occasional support on video hooks and new visual concepts. - Deliver fast, high-quality iterations based on feedback, KPIs, and creative performance data. What We’re Looking For - 5+ years of experience in marketing art, production art, visual design, or creative asset production, ideally in gaming, entertainment, or mobile-first content. - Familiarity with AI art pipelines, prompt writing, and image refinement tools. - Strong portfolio showing both static and video work, ideally from brief, sketch, storyboard, or concept through to final execution. - Excellent Adobe Photoshop skills, especially in layout, compositing, retouching, and final image polish. - Medium-level skills in Premiere and After Effects for editing, adapting templates, timing, keyframes, and producing polished marketing videos. - Strong graphic design fundamentals: layout, typography, composition, color, hierarchy, lighting, and visual balance. - Good understanding of UA, ASO, and social media creative formats. - Strong design taste, attention to craft, and ability to deliver polished assets under fast-paced timelines. - Ability to create sketches, storyboards, key frames, and rough layouts to develop ideas before final production. - Good understanding of art direction and visual storytelling. - Fluent English communication skills, both spoken and written. - Comfortable collaborating with international teams and stakeholders. Bonus Points - Experience with 3D tools. - Experience with Unity or game engine captures. - Fast sketching skills for ideation and storyboarding. - Experience creating hooks for short-form UA videos. - Experience with production tracking and collaborative project tools. Please include a portfolio or PDF/links to examples of your work in the application. Applicants need work examples to be considered. The portfolio should include both static and video examples, ideally showing process work such as sketches, storyboards, briefs, key frames, art direction, final images, and final videos. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyJul 25, 2026

Senior Data Scientist, Marketing

Negotiable

Scopely is a global gaming company whose mission is to inspire play every day. The mission of Scopely Explore (formerly known as Niantic) is to inspire people to explore the world, together. We build products that inspire exercise, exploration, and social in-person interaction. We are seeking a quantitatively strong and business-oriented Senior Data Scientist, Marketing to support our global Marketing organization. In this role, you will help develop measurement frameworks, analytical models, and scalable reporting solutions that inform user acquisition, brand investment, direct marketing (CRM), and long-term player growth. This role is ideal for someone who combines strong technical skills with intellectual curiosity and a desire to understand how marketing investments translate into long-term player value. Demonstrated effective use of AI and a forward-thinking mindset into how AI will change day-to-day work in data and marketing is mandatory. Responsibilities - Build and maintain robust ETL pipelines that ingest, transform, and validate UA data from ad networks, MMPs, and internal systems. - Develop and refine predictive LTV (pLTV) models to enable faster optimization of UA campaigns based on early user signals. - Explore, develop, and refine AI-based systems that are able to answer common data inquiries from stakeholders, as well as quickly diagnose data pipeline issues, etc. - Contribute to marketing mix modeling (MMM) and other aggregate measurement approaches to evaluate cross-channel and upper-funnel impact (e.g. brand) where deterministic attribution is limited. - Support testing frameworks (e.g., geo experiments, holdouts, incrementality tests) to evaluate campaign effectiveness in privacy-constrained environments. - Partner with Finance and UA teams to align on forecasting methodologies and investment strategies driven by pLTV and payback periods. Direct Marketing - Build and maintain reliable datasets and ETL workflows that ingest and transform marketing data from ad platforms, CRM systems, social channels, and internal data sources. - Support measurement and optimization of direct marketing channels including email, push notifications, in-app messaging, and other CRM/lifecycle campaigns. - Partner with Marketing stakeholders to provide actionable insights on targeting, segmentation, messaging effectiveness, and channel strategy. Analytics Infrastructure & Workflow Efficiency - Contribute to scalable dashboards and standardized reporting that enable self-serve marketing analytics. - Ensure data quality, documentation, and consistency across marketing data pipelines. - Leverage modern AI/ML tools (e.g., automated modeling workflows, AI coding assistants) to improve analysis speed, code quality, and documentation. - Identify opportunities to automate recurring reporting and insight generation for marketing stakeholders. - Contribute to responsible and thoughtful adoption of AI-powered analytics tools. Qualifications - 3-6 years of experience in data science, marketing analytics, or a related quantitative role (gaming, mobile, or digital consumer experience preferred). - Understanding of marketing measurement across paid media, brand/awareness, social, and direct marketing channels (e.g., email, push, CRM). - Familiarity with core performance metrics such as CAC, ROAS, retention, engagement, and LTV. - Experience working with marketing data from ad platforms, CRM systems, or aggregate reporting environments. - Proficiency in SQL and experience using Python (or similar) for analysis. - Experience working with large datasets in a cloud data warehouse (e.g., BigQuery) and building dashboards in BI tools (e.g., Looker). - Strong analytical, communication, and stakeholder management skills in a cross-functional environment. Plus If… - Experience supporting brand or upper-funnel marketing measurement. - Exposure to marketing mix modeling or other aggregate-level measurement frameworks. - Familiarity with lifecycle marketing analytics, segmentation modeling, or propensity modeling. - Experience building marketing data pipelines using Airflow, Composer, or similar orchestration tools. - Experience working with global marketing teams across multiple regions. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $17,100 - $253,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyJul 25, 2026

Senior AI Security Engineer

Negotiable

Scopely is looking for a Senior AI Security Engineer to join our Gen AI team in Bangalore! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. For this role, we are seeking an experienced SRE focused on observability, automation, and runtime reliability for AI platforms and internal agentic systems. This is not a generic SOC role. It is an engineering role for someone who builds telemetry, automates findings-to-fix loops, improves production readiness, and keeps AI systems measurable, resilient, and controllable in production. Suitable backgrounds - Site Reliability Engineers or backend engineers with strong automation skills - Platform, DevSecOps, or observability engineers who build tooling, not just dashboards - Cloud automation engineers with strong logging, tracing, and incident-response instincts - Detection or security automation engineers who prefer code, pipelines, and remediation over ticket operations Tech stack - Python for automation and workflow integration - Infrastructure-as-code (Terraform or Pulumi) - Observability concepts: metrics, logs, traces - AWS logging, telemetry, IAM-aware diagnostics, and infrastructure scripting - CI/CD integration for runtime checks, rollback drills, and policy validation - Nice to have: Wiz, CrowdStrike, Orca, GuardDuty, WAF / RASP-style controls, MCP / agent telemetry What You’ll Do - Design and operate observability layers for AI platforms, including audit trails, tool-call logs, correlation IDs, traces, and runtime visibility across service boundaries. - Build automated findings-to-fix loops for AI and cloud platforms, integrating signals from CSPM tooling or future AI security products into pragmatic remediation workflows. - Implement reliability and hardening controls for internal AI systems, including alerting, health checks, rollback drills, kill-switch validation, rate limiting, and drift detection. - Codify detections, policies, and operational checks as code where they reduce toil, prevent regressions, and improve platform control. - Review platform and AI-application changes from a reliability and application-hardening perspective, especially around secrets, telemetry, external calls, risky MCP usage, and production readiness. - Own AI-platform-specific operational readiness and partner with central IT / SOC teams for escalations, postmortems, and shared incident workflows. - Continuously improve production readiness through automation, post-incident learning, and repeatable playbooks for AI runtime issues. What We’re Looking For - 5+ years in SRE, production engineering, platform operations, or security automation with strong coding ability. - Hands-on scripting and coding experience, especially Python, with comfort working against APIs, log pipelines, and automation workflows. - Experience building pragmatic observability and alerting systems in AWS or comparable cloud environments. - Ability to reduce operational toil through automation while keeping signal quality high and false positives manageable. - Comfortable with incident handling, rollback thinking, SLA / SLO discussions, and evidence-driven postmortems. - Interest in AI systems, agent runtimes, and MCP-style integration risks is highly valuable. Bonus - Software engineering background beyond scripting, including code review and testing habits. - Experience with AI agent runtimes, prompt / tool telemetry, or internal platform hardening for LLM-powered systems. - Experience with privacy-aware telemetry, compliance-oriented logging, or runtime protection About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyJul 25, 2026

Senior AI Engineer

Negotiable

Scopely is looking for a talented Senior AI Engineer to join Forge , our Creative Technology & AI team within Flamed, in our Barcelona office on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day—whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people around the world every day. We are the in-house creative agency, Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games Marketing needs worldwide. What You'll Do Forge is shaping the future of creative production. We combine AI, engineering, automation, and creative technology to build the platforms, products, and workflows that empower every creative team to move faster, experiment more, and scale creativity across Scopely. As a Senior AI Engineer , you'll play a key role in building those capabilities. You'll own the end-to-end delivery of AI-powered products and services, working closely with engineers, creative technologists, designers, producers, and artists to turn ambitious ideas into production-ready solutions that have a measurable impact across multiple game teams. - Own AI products and services throughout their full lifecycle, from discovery and implementation to deployment, monitoring and continuous improvement. - Build production-ready AI applications leveraging LLMs, agents, automation frameworks and modern cloud technologies. - Prototype rapidly to validate ideas with users, then evolve successful experiments into scalable, maintainable solutions. - Partner closely with Creative, Production and Engineering teams to understand workflows and translate them into practical AI solutions. - Drive technical decisions within the team's architecture and engineering standards. - Participate in design reviews, helping shape technical decisions through thoughtful proposals and engineering trade-offs. - Ensure solutions are reliable, observable, secure and maintainable by following best practices around testing, versioning, permissions and monitoring. - Contribute to a collaborative engineering culture by sharing knowledge, improving standards and helping evolve the team's technical practices. What We're Looking For - 7+ years of software engineering experience delivering production systems. - Strong hands-on engineering skills with experience shipping products end-to-end. - Experience building AI-powered applications using LLMs, AI agents, orchestration frameworks or automation platforms. - Strong understanding of software architecture, APIs, cloud services and modern development practices. - Comfortable moving quickly through ambiguity while maintaining a high engineering bar. - Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. - Pragmatic mindset focused on solving real user problems and delivering business impact. - Passion for applying AI to improve workflows, creativity and operational efficiency. Nice to Have - Experience building internal platforms or developer tools. - Experience working with multimodal AI, computer vision or generative media technologies. - Familiarity with MLOps, evaluation pipelines and AI observability. - Experience supporting creative production, gaming, content pipelines or digital asset workflows. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeSenior

By ScopelyJul 25, 2026

Principal AI Product Security Engineer

Negotiable

Scopely is looking for a Principal Security Engineer to join our Information Security team in Spain/Portugal on a hybrid basis. Our security team is dedicated to ensuring the security of our top games. This involves collaborating closely with game studios to develop and implement comprehensive security strategies throughout the game design and development lifecycle. In addition, this role will drive the application of AI to transform how security is delivered across Product Security, Security Operations, and Security Engineering, improving efficiency, scalability, and impact. What You Will Do Game & Product Security Leadership - Partner with game studios to develop comprehensive security strategies for game design and development - Conduct threat modeling, vulnerability assessments, and security audits across all phases of game development - Design and implement security controls and countermeasures to mitigate risks and ensure compliance with company policies, standards, and industry norms - Collaborate with game teams to advocate for secure coding practices and integrate security at every level of the software development lifecycle - Coordinate and participate in penetration tests and game feature security assessments - Provide expert-level technical guidance to game teams to assist in securing games and backend infrastructure - Translate business priorities, technical constraints, and threat intelligence into actionable security roadmaps AI-Driven Security Transformation & Automation - Identify and implement opportunities to apply AI to: - Vulnerability triage, prioritization, and remediation - Security operations workflows (alert analysis, investigation, response) - Product security processes (code analysis, findings analysis, pentesting support) - Build AI-driven workflows, tools, and agents to reduce manual effort and improve speed and accuracy - Use AI to improve vulnerability management through triage support, risk classification, remediation guidance, and findings analysis - Partner with Security Operations to improve detection, triage,investigation and response through automation and AI-assisted analysis - Integrate AI capabilities into existing security platforms (e.g., Wiz, SIEM, Jira, IAM systems) - Develop reusable AI-enabled components that scale across teams and studios - Establish practical guardrails for the safe and effective use of AI in security, including data handling, quality control, and human review - Define success metrics for AI-enabled workflows, including productivity gains, response times, remediation throughput, and signal quality Security Engineering & Platform Enablement - Design and implement scalable security solutions across cloud and backend systems - Work closely with information security domain owners to ensure games adhere to all relevant security policies, standards, and regulatory requirements - Develop and maintain comprehensive documentation on security architectures, processes, and decisions for technical and non-technical stakeholders - Improve security engineering efficiency through automation and tooling - Stay updated with the latest security technologies, trends, threats, and AI capabilities, continuously improving security practices Stakeholder Engagement & Leadership - Frequently interact with game studio leaders to understand their roadmaps, risk posture, and how information security can enable them to execute their vision securely - Develop security-related roadmaps in partnership with game teams - Regularly report to Information Security and Studio management on the threat landscape and security posture of games - Act as a thought leader using both qualitative and quantitative risk assessment frameworks - Lead and/or assist in security incidents and investigations What We're Looking For - 8+ years of experience in Product Security, software development, or cybersecurity - Proven track record in securing large-scale software applications and systems - Strong experience building automation and security tooling - Hands-on experience applying AI/LLMs to operational workflows, including designing, evaluating, and safely deploying AI-assisted systems is highly desirable - Ability to effectively communicate business risk and technical information clearly to both technical and non-technical audiences Technical Expertise - Expertise in modern programming languages such as Python and C# - Strong understanding of: - Application and product security - Vulnerability management and pentesting methodologies - API and backend security - Experience with mobile application penetration testing, including traffic interception, runtime analysis and API security. - Experience with modern development ecosystems, CI/CD pipelines, APIs, and developer platforms. - Strong, hands-on experience with cloud computing environments including: - AWS shared responsibility model - IAM and access control - Network security in the cloud - Strong understanding of securing cloud workloads including configuration, deployment, and auditing - Deep knowledge of Linux security practices Additional Strengths - Demonstrated ability to think like both an attacker and defender - Experience architecting for and managing high-scale, high-velocity workloads in AWS preferred - Familiarity with security frameworks (e.g., OWASP, NIST Cybersecurity Framework) and compliance regulations (e.g., GDPR, CCPA, ISO 27001) - Excellent analytical, problem-solving, and decision-making skills - Exceptional communication and leadership skills, with the ability to influence across teams Bonus Points - Experience applying AI to security, automation, or developer workflows - Previous experience at a game company - Familiarity with: - RAG architectures - Vector databases (e.g., pgvector) - AI-assisted code analysis or pentesting Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

👤 HumanFull-timeExpert / Staff+

By ScopelyJul 25, 2026

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