Senior Machine Learning Engineer

About 2K

2K is renowned for creating some of the most iconic and culturally influential video games, including NBA® 2K, BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®. Our diverse portfolio is crafted by leading studios such as Visual Concepts, Firaxis Games, Hangar 13, and others, delivering world-class gaming experiences across various platforms. At 2K, we prioritize empowering, supporting, and inspiring our teams while fostering a diverse and inclusive work environment.

Role Overview

We seek an outstanding software engineer with proven expertise deploying and operating machine learning models in production environments, particularly as scalable, low-latency prediction services. The candidate should excel at deploying ML models for real-time, near-real-time, or batch processing based on use case needs. Deep practical knowledge of machine learning types, algorithms, lifecycle management, and modern frameworks for modeling and serving is essential.

Key Responsibilities

• Collaborate with ML scientists, data engineers, central technology teams, and game studios to deploy production-grade ML decision services and integrate them successfully into live products.
• Lead the evolution of Machine Learning Operations (MLOps) including CI/CD pipelines, model registries, feature stores, large-scale real-time inference, monitoring, drift detection, and reproducibility; promote best engineering practices within the ML community.
• Design and quickly prototype ML-powered applications such as recommenders, matchmaking systems, cheat/toxicity interventions, and game economy balancing tools.
• Work with development studios and technology teams to coordinate and implement ML solutions in games according to launch timelines.
• Explore, evaluate, and pilot new generative AI (GenAI) and large language model (LLM) applications; convert promising concepts into secure, scalable, and measurable implementations.

Required Qualifications and Skills

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or a related STEM field plus over 4 years of software engineering experience with significant ML production deployment; or Master’s degree with 2-4 years of relevant expertise.
• Strong programming proficiency in Python; knowledge of high-performance languages like C, C++, Java, or Rust is advantageous. Comfortable with both object-oriented and functional programming paradigms, and quick to learn new languages.
• Firm understanding of ML tasks including supervised, unsupervised, and reinforcement learning (a plus) with hands-on experience in traditional and deep learning algorithms.
• Experience using modern ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Apache Spark ML.
• Practical experience with cloud platforms (AWS, GCP, Azure), containerization and orchestration systems (e.g., Kubernetes), serverless setups, and microservice architectures.
• Hands-on involvement in MLOps and CI/CD tooling including model registries, feature stores, workflow orchestration tools like Airflow, Kubeflow, or MLflow, along with automated training, deployment, and monitoring systems.
• Familiarity with modern data technologies including relational and NoSQL databases and lakehouse/big data systems like Apache Spark or Databricks/Delta.
• Willingness to work flexible hours aligning roughly 10:00–18:30 local time to overlap with US headquarters for collaborative purposes.

Preferred but Not Required

• Experience developing recommender systems, search algorithms, matchmaking, or reinforcement learning solutions.
• Knowledge of infrastructure-as-code and automation tools such as Terraform or AWS CloudFormation.
• Experience with managed ML platforms like Amazon SageMaker or Databricks.
• Familiarity with stream processing tools such as Apache Kafka, Kinesis, or Spark Streaming.
• Understanding of generative AI and LLM technologies, including retrieval-augmented generation (RAG), evaluation frameworks, guardrails, agent workflows, or vector databases.
• Exposure to major game engines like Unreal Engine or Unity.

Equal Opportunity Commitment

2K is devoted to providing a work environment where all individuals feel welcome, supported, and empowered. We provide reasonable accommodations for applicants with disabilities during the hiring process and employment.

Important Notes

2K and associated studios never initiate contact through instant messaging services or personal email and only communicate through official 2K.com email accounts.