Senior Machine Learning Engineer

📋 Job Overview

At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre.

Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms.

But what truly powers 2K is our people.

We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work.

🏢 About 2K

We are a leading global interactive entertainment software company that develops, markets, distributes and publishes some of the most iconic and culture-shaping video games in entertainment. Our portfolio includes some of the most successful franchises in the world, such as NBA® 2K, BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, XCOM®, and WWE® 2K, among others. Our people are the heart of our success, and we are committed to fostering a diverse, inclusive workplace where everyone can thrive.

🎯 The Role

You are an exceptional software engineer with a strong track record of deploying and operating ML models in production, particularly as low-latency, high-availability prediction services. You can deploy ML models as real-time, near-real-time, or batch services depending on the requirements of the use case. You bring deep, hands-on machine learning experience with a working command of ML algorithm types and tasks, the end-to-end ML lifecycle, and modern modeling and serving frameworks.

You operate with autonomy and judgment. You're a solution-oriented, creative problem solver and a self-starter who drives initiatives end-to-end: scoping ambiguous problems, making sound architectural choices across multi-component systems, and shipping to deadline. As a senior engineer, you raise the bar around you by setting technical direction, mentoring others, and championing engineering standards across the team and wider ML community.

✅ Key Responsibilities

• Partner with ML scientists, data engineers, central tech, and game studios to deploy ML models as production-grade decision services and integrate them into larger systems and live products.
• Own and mature Machine Learning Ops practice: CI/CD for models, model registry and feature stores, real-time inference at scale, monitoring, drift detection, and reproducibility. Advocate for engineering best practices across the community.
• Identify, evaluate, and pilot opportunities to apply GenAI/LLM to enable new use cases, and translate promising concepts into secure, scalable, and measurable solutions.

📌 Required Qualifications

• Bachelor's degree in Computer Science, Computer/Electrical Engineering, or a related STEM field and 4+ years in software development/engineering, including substantial experience deploying ML in production, or Master's degree with 2-4 years of relevant experience.
• Strong programming skills, proficient in Python. Familiarity with a high-performance systems language (C, C++, Java, Rust, …) is a plus. Comfortable across object-oriented and functional paradigms, and quick to pick up new languages as needed.
• Solid grounding in common ML tasks (supervised and unsupervised; reinforcement learning a plus) and commonly used algorithms across traditional ML and deep learning, with the ability to learn new approaches quickly.
• Hands-on with modern ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Spark ML.
• Production experience with cloud infrastructure (AWS, GCP, or Azure), containers and orchestration (e.g. Kubernetes), serverless, and microservice architecture.
• Hands-on with MLOps and CI/CD tooling including model registries, feature stores, pipeline orchestration (e.g. Airflow, Kubeflow, or MLflow), and automated training, deployment, and monitoring.
• Experience with modern data technologies such as relational and NoSQL databases, and lakehouse/big-data tooling such as Apache Spark or Databricks/Delta.
• Flexibility to start and end late to offer a couple of hours overlap with our US HQ (core hours approximately 10:00–18:30 local) to enable close collaboration.

⭐ Desirable Experience

• Experience with recommender systems, search algorithms, matchmaking, or reinforcement learning technologies.
• Experience with infrastructure-as-code and infrastructure automation tools, such as Terraform, or AWS CloudFormation.
• Experience with managed ML platforms such as Amazon SageMaker or Databricks.
• Familiarity with stream processing tools such as Apache Kafka, Kinesis, or Spark Streaming.
• Major game engines such as Unreal or Unity.

🎁 Benefits

2K offers a comprehensive benefits package that includes competitive salary, health insurance, retirement plans, and other perks. The company is committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work.

🛂 Visa & Eligibility

2K is an equal opportunity employer and is committed to fostering a diverse, inclusive workplace. The company is dedicated to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.