WHAT MAKES US EPIC?

ENGINEERING - GAMES

What We Do

ENGINE PROGRAMMER INTERN

What You'll Do

In this role, you will

• Work closely with the Fortnite Online team (FNO) by architecting, developing, and maintaining shared online gameplay technology
• Contribute to the online systems and toolsets used by licensees in the Unreal Engine as well as online features and services used by Fortnite and other games at Epic
• Develop solutions to various technical challenges from initial concept to final shipped code and ensure that it is stable for our players once released

What we're looking for

• Bachelor's degree in Computer Science or a related discipline required, with strong analytical thinking and problem-solving skills strongly desired
• Demonstrable proficiency in object-oriented programming and C++ required, with familiarity with Java considered a plus
• Demonstrable knowledge of networking, REST, and utilizing back-end services with resiliency in mind
• Demonstrated interest in online multiplayer games, and interest in games as a service also a plus
• Familiarity with Unreal Engine or UEFN is strongly desired
• Technical portfolio demonstrating programming work in a student or internship environment, or game/feature development, with examples of code and experience developing online features, tools, or other relevant projects strongly desired
• Strong preference for demonstrating AI usage and leveraging LLMs for code and tooling development

ABOUT US

Like what you hear? Come be a part of something Epic!

• 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning).
• Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
• A track record of building ML systems from 0→1 in ambiguous, early-stage environments, and taking them to production at scale.
• Strong product and business intuition, with the ability to translate experiment results into roadmap decisions.
• Excellent communication and collaboration skills — able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned.
• The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems.

• Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams.
• Familiarity with personalized marketing systems — lifecycle targeting, audience segmentation and lookalikes, campaign optimization.
• Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink).

Responsibilities:

• Work with the team to create a visual style that satisfies the creative goals - establishing a unique visual identity for the game’s UI
• Create visually balanced and intuitive interfaces that show an excellent grasp of readability, hierarchy, platform and player behavior patterns
• Guide the planning of UI work, working with artists and designers to build on the creative vision
• Create assets through each stage of development, taking ideas from concept to in-game implementation
• Use deep knowledge of systemic design, graphic design, interactivity, layout, typography, color theory, and illustration to create seamless player experience
• Extend themes throughout the project, establishing style guides and conventions
• Establish the quality bar for visual design for the game

Required Qualifications:

• Hands-on experience contributing to a major feature, game, product launch, or entertainment property through the craft of visual communication design.
• 8+ years of professional experience as a Visual Designer, UI Designer, or UI Artist
• Expert knowledge in Figma & Adobe CC
• Knowledge of the game development pipeline including optimization, localization and implementation
• Experience shipping games in Unreal, Unity, or any relevant game engine.
• Portfolio that demonstrates visual taste of contemporary graphic design and strong artistic style

Desired Qualifications:

• Experience developing brand identities, logos, brand kits, etc.
• Experience in a secondary area such as motion graphics, illustration, animation, or modeling

Our Perks:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

Responsibilities:

• Work and align with different partners that span across multiple teams to ensure we're delivering awesome features to excite them
• Contributing to technical discussions/designs that your team oversees
• Own the software lifecycle for your code that includes develop/test/deploy/maintaining frameworks, platforms, and tools
• Mentorship. You help junior Rioters develop the tools and creative atmosphere to shine
• Participate in the team's support rotation

Required Qualifications:

• 8+ years of deep hands-on experience with C/C++ that spans several use-cases and platforms.
• At least 5 years of experience in the video game industry that includes working within multiple game development UI and an example of a shipped game.
• Have been responsible for driving the development of several organizational sized development efforts (1-year+ scope), including requirements gathering, planning, and testing.
• Maintained software development best practices within your organization that includes design/code reviews, coding standards, source control management, testing, delivery performance, scalability, and maintainability

• Experience working on a custom, internally developed game engine and tooling.
• Expertise with UX artist workflows

Our Perks:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

Not Your Typical Workplace.&

More Than a Role...

Where Responsibility Meets Real Opportunity&

• Manage daily operations and corporate maintenance activities of WorkMotion’s global entities, ensuring compliance and operational efficiency across multiple jurisdictions.
• Track and drive corporate compliance obligations, including license renewals, UBO reporting, KYC filings, corporate governance tasks, etc., while working with external and internal stakeholders.
• Help execute WorkMotion’s international expansion strategy by helping to manage the set-up of entities and the operating infrastructure for WorkMotion across the globe to employ compliantly worldwide.
• Source, select, and manage external partners and providers that are part of our local EOR infrastructure.
• Support with project management of various expansion or improvement initiatives related to our global infrastructure, as well as special company and strategic projects.
• Collaborate with WorkMotion’s internal Finance, Payroll, HR Operations, and Legal teams, and serve as a point of contact for entity-related queries.
• Maintain and update documents, records, and data to ensure accuracy and audit-readiness.
• Support audits, regulatory inspections, and internal reviews by preparing necessary documentation.
• Identify and solve problems, inefficiencies, or gaps in our entity management systems and internal processes.

What It Takes to Make an Impact Here&

• Bachelor's or Master's degree in Law, Economics, Business Administration, International Affairs, or other relevant field.
• 2+ years of work experience, with prior roles in international operations, project management, entity set-up/maintenance, or relevant work in legal operations or compliance management.
• Project management skills, with the ability to take lead on initiatives, coordinate across multiple stakeholders, and manage timelines.
• Open-minded and organized work attitude, with the ability to respond flexibly across a varying set of topics and tasks.
• Excellent interpersonal, communication, and team-player skills to collaborate with internal and external stakeholders.
• Comfortable working in high-paced dynamic environments.
• A proactive problem-solver who can anticipate challenges and risks, and look for solutions.
• Strong attention to detail and documentation practices.
• Fluent in English, both written and spoken.

Bonus Points If You Bring...

• Experience in entity management, legal/paralegal work, or project coordination roles.
• Familiarity with regulated environments, ideally in FinTech, SaaS, or multinational operations.
• An understanding of corporate governance, entity compliance, regulatory obligations, and operational risk management in a global context.
• Experience working asynchronously in a remote-first or globally distributed environment.

Not Your Typical Team&

The Perks of Being Here&

• Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours.
• Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax.
• Get fit and stay active: Whether it’s yoga, weightlifting, or a quick jog—work out on your terms, at a discount with our subsidised gym memberships.
• Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge.
• Stay connected: Take part in exciting annual team meetups!
• Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace.

Not Your Typical Workplace.&

More Than a Role...

Where Responsibility Meets Real Opportunity&

• Manage daily operations and corporate maintenance activities of WorkMotion’s global entities, ensuring compliance and operational efficiency across multiple jurisdictions.
• Track and drive corporate compliance obligations, including license renewals, UBO reporting, KYC filings, corporate governance tasks, etc., while working with external and internal stakeholders.
• Help execute WorkMotion’s international expansion strategy by helping to manage the set-up of entities and the operating infrastructure for WorkMotion across the globe to employ compliantly worldwide.
• Source, select, and manage external partners and providers that are part of our local EOR infrastructure.
• Support with project management of various expansion or improvement initiatives related to our global infrastructure, as well as special company and strategic projects.
• Collaborate with WorkMotion’s internal Finance, Payroll, HR Operations, and Legal teams, and serve as a point of contact for entity-related queries.
• Maintain and update documents, records, and data to ensure accuracy and audit-readiness.
• Support audits, regulatory inspections, and internal reviews by preparing necessary documentation.
• Identify and solve problems, inefficiencies, or gaps in our entity management systems and internal processes.

What It Takes to Make an Impact Here&

• Bachelor's or Master's degree in Law, Economics, Business Administration, International Affairs, or other relevant field.
• 2+ years of work experience, with prior roles in international operations, project management, entity set-up/maintenance, or relevant work in legal operations or compliance management.
• Project management skills, with the ability to take lead on initiatives, coordinate across multiple stakeholders, and manage timelines.
• Open-minded and organized work attitude, with the ability to respond flexibly across a varying set of topics and tasks.
• Excellent interpersonal, communication, and team-player skills to collaborate with internal and external stakeholders.
• Comfortable working in high-paced dynamic environments.
• A proactive problem-solver who can anticipate challenges and risks, and look for solutions.
• Strong attention to detail and documentation practices.
• Fluent in English, both written and spoken.

Bonus Points If You Bring...

• Experience in entity management, legal/paralegal work, or project coordination roles.
• Familiarity with regulated environments, ideally in FinTech, SaaS, or multinational operations.
• An understanding of corporate governance, entity compliance, regulatory obligations, and operational risk management in a global context.
• Experience working asynchronously in a remote-first or globally distributed environment.

Not Your Typical Team&

The Perks of Being Here&

• Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Our WorkFlex program lets you work from anywhere, anytime. Whether it's a beachside office or a cosy home office, the choice is yours.
• Your well-being is our priority: We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax.
• Get fit and stay active: Whether it’s yoga, weightlifting, or a quick jog—work out on your terms, at a discount with our subsidised gym memberships.
• Learn, grow, and develop: We believe in constant growth. With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge.
• Stay connected: Take part in exciting annual team meetups!
• Diversity is our superpower: We are proud to be an equal opportunity employer, committed to fostering a diverse and inclusive workplace.

• If you build the pipelines and retrieval layer models depend on — Data Engineer

• If you own how an AI system behaves in production — AI Engineer

• If you ship product software with agents in your toolchain — AI-Augmented Software Engineer

• If you've done all of the above and answered to the client directly — Forward Deployed Engineer

• The question. Translating a business decision into something measurable: what would count as success, what the baseline already achieves, and what a useful improvement over it would look like.

• Method and model. Supervised and unsupervised methods, deep learning with CNNs and Transformers in PyTorch, and the judgment to choose between them, including the cases where a simpler model or no model at all is the right answer.

• Fine-tuning and adaptation. Adapting pretrained and open-weight models with LoRA, QLoRA or PEFT, and a clear view of when fine-tuning is the wrong answer.

• Measurement and experimental design. Baselines, holdouts, offline and online evaluation, and honest reporting of uncertainty. If you say the model is better, you should be able to say better than what, by how much, and how sure you are.

• Error analysis and handover. Telling apart a data problem, a label problem, a method problem and a framing problem, and handing the model over packaged, documented, and with the metric that defines whether it is still working.

• Work inside the client's environment. Their repositories, their standups, sometimes their customer calls. Azumo is SOC 2 certified, client code stays in client repositories, and some engagements carry additional requirements such as HIPAA.

• 5+ years building and validating models against real decisions, with Python as your primary language, plus the engineering fundamentals that go with it: testing, code review, Git, containers, and version control for data and experiments.

• Depth in machine learning and deep learning: supervised and unsupervised methods, CNNs and Transformers, with hands-on PyTorch or an equivalent framework, including training, custom modules, and optimization.

• Expert command of pandas, NumPy and scikit-learn.

• Strong foundation in statistics and experimental design: baselines, holdouts, significance, and the ability to state how confident you are and why.

• Fine-tuning or adaptation of pretrained models, and a clear view of when fine-tuning is the wrong answer.

• Error analysis as a discipline. You can separate a data problem from a label problem, a method problem and a framing problem, rather than reaching for a larger model.

• Cloud experience with AWS, GCP or Azure and their AI services such as Amazon SageMaker, Google Vertex AI or Azure Machine Learning.

• Active use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot in real delivery work.

• Clear written and spoken English, C1 or above, and the confidence to explain a technical trade-off directly to a client.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field, or equivalent professional experience.

• Evaluation of LLM systems: test-set design, model-as-judge or equivalent scoring, and benchmark selection you can defend.

• Open-weight fine-tuning and adaptation at depth: LoRA, QLoRA, PEFT, and the cost and latency trade-offs involved.

• Multimodal work covering vision, speech, or document understanding alongside text.

• Causal inference, uplift modeling, or forecasting at scale.

• Experiment tracking and MLOps tooling: MLflow, Weights & Biases, Kubeflow or similar.

• Delivery under a compliance regime such as SOC 2 or HIPAA.

• Contributions to open-source AI libraries, published research or technical writing, or active participation in the AI community.

• Paid time off (PTO)
• U.S. Holidays
• AI Training
• Mentored career development
• Profit sharing
• $US remuneration

• If you decide what to measure and which method answers it — Data Scientist

• If you own how an AI system behaves in production — AI Engineer

• If you ship product software with agents in your toolchain — AI-Augmented Software Engineer

• If you've done all of the above and answered to the client directly — Forward Deployed Engineer

• Ingestion and transformation pipelines. Batch and streaming ingestion on Spark, Kafka, dbt and Airflow, with idempotency, backfills, schema evolution and late-arriving data handled by design rather than by hand.

• Storage and modeling. Warehouse and lakehouse design on Snowflake, BigQuery, Redshift or Databricks, with partitioning, file layout and query cost treated as engineering decisions.

• The retrieval layer. The chunking, embedding and indexing pipelines that feed RAG systems on pgvector, Pinecone, Qdrant or Azure AI Search, and the freshness, deduplication and permission problems that come with them.

• Data quality as a contract. Tests, expectations, lineage and alerting. If a pipeline is wrong, the people downstream should hear it from you and not from the client.

• Sensitive data by default. PII classification, masking, row and column level access, retention and deletion, and an audit trail that holds up when a client asks who read what.

• Production operation. Containerized deployment on Azure or AWS, CI/CD, orchestration, observability, and explicit cost and runtime budgets that you own rather than discover after the invoice.

• Work inside the client's environment. Their repositories, their standups, sometimes their customer calls. Azumo is SOC 2 certified, client code stays in client repositories, and some engagements carry additional requirements such as HIPAA.

• 5+ years building and operating production data pipelines, with Python and SQL as your primary languages, plus the engineering fundamentals that go with it: testing, code review, CI/CD, Git, containers, and orchestration.

• Deep expertise in designing and building data warehouses or lakehouses, including dimensional modeling, incremental processing, and the cost and performance trade-offs behind each choice.

• Distributed processing at production scale with Spark, Kafka, Flink or equivalent, including the failure modes that only appear under load.

• Orchestration as an engineering discipline rather than a cron replacement: Airflow, Dagster or Prefect, with retries, idempotency and backfill strategy you can defend.

• Transformation under version control, with tests and lineage: dbt or something you built yourself.

• Cloud deployment experience, Azure preferred and AWS acceptable, with Docker, CI/CD pipelines, and infrastructure as code (GitHub Actions, Terraform, or Bicep).

• Working discipline around pipeline cost, runtime and throughput. You can explain what a pipeline costs to run and what you did about it.

• Active use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot in real delivery work.

• Clear written and spoken English, C1 or above, and the confidence to explain a technical trade-off directly to a client.

• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent professional experience.

• Vector and retrieval infrastructure: pgvector, Pinecone, Qdrant, FAISS or Azure AI Search, and the retrieval-quality problems that come with it.

• Streaming, real-time or high-throughput workloads.

• Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Databricks.

• Prior experience with notebooks using Jupyter, Google Collab, or similar.

• Delivery under a compliance regime such as SOC 2 or HIPAA.

• Contributions to open-source data libraries, published technical writing, or active participation in the data engineering community.

• Paid time off (PTO)
• U.S. Holidays
• AI Training
• Mentored career development
• Profit sharing
• $US remuneration

• If you own how an AI system behaves in production — AI Engineer

• If you build the pipelines and retrieval layer models depend on — Data Engineer

• If you decide what to measure and which method answers it — Data Scientist

• If you ship product software with agents in your toolchain — AI-Augmented Software Engineer

• The whole thing. Discovery, design, build, verification, release, and the incident afterwards. Not a slice of it handed to you already specified.

• The work nobody assigns. The access nobody granted, the dataset nobody can explain, the integration everyone assumed was someone else's. Unclaimed work is yours by default.

• Saying no to the client directly yourself. Not escalating it, not absorbing it quietly. A reason, an alternative, and the standing to be believed.

• Verification. You demonstrate that the acceptance criteria are met. There is no testing phase behind you.

• Reproducible delivery, run with agents. Specification and tests first, agent context committed to the repository, gates on every change. One engineer carrying a whole delivery only works when the process is reproducible.

• Work inside the client's environment. Their repositories, their standups, sometimes their customer calls. Azumo is SOC 2 certified, client code stays in client repositories, and some engagements carry additional requirements such as HIPAA.

• 7+ years building and shipping production software, with depth in at least one of our four lanes: product software, data pipelines and retrieval, modeling and applied AI, or AI systems in production.

• Experience as the only engineer on an engagement, or the first one on a new client.

• A track record of delivering inside someone else's environment — their repository, their conventions, their constraints — without supervision and without a specification written for you.

• Direct client-facing experience. You have run the conversation, not attended it: scoped work with the person paying for it, pushed back on a request, and been believed.

• End-to-end ownership of at least one system in production, including the incidents. You were the one who got called.

• Daily delivery work with AI coding agents, beyond autocomplete: agents running inside the repository, repo-level context you maintain, and review of everything that lands.

• Cloud deployment experience on Azure or AWS, with Docker, CI/CD pipelines, and infrastructure as code (GitHub Actions, Terraform, or Bicep).

• English at C1/C2. You will be in the room with the client, and the engagement depends on what you can explain in that room.

• Bachelor's degree in Computer Science, a related field, or equivalent professional experience.

• Working depth in a second lane.

• Delivery under a compliance regime such as SOC 2 or HIPAA.

• Consulting, agency, or client-services background, with the commercial instinct that comes from it.

• Contributions to open-source projects, published technical writing, or active participation in an engineering community.

• Paid time off (PTO)
• U.S. Holidays
• AI Training
• Mentored career development
• Profit sharing
• $US remuneration

WHAT MAKES US EPIC?

ECOSEC

What We Do

DATA SCIENCE INTERN

What You'll Do

In this role, you will

• Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works
• Build and evaluate statistical or machine learning models that detect abusive activity at scale
• Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates
• Build dashboards or monitoring so the team can track your signal without an analyst in the loop
• Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team

What we're looking for

• Experience with Python for data analysis, pandas and scikit-learn preferred
• Ability to write SQL against large datasets to pull and shape your own data
• A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy
• A desire to develop strong data science and software development skills
• Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system
• Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team
• The ability to react and respond effectively to constructive feedback
• A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data
• Nice to have: exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling
• Nice to have: interest in games, live services, or online trust and safety

ABOUT US

Like what you hear? Come be a part of something Epic!