Senior Machine Learning Engineer
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
- Compensation
- Not disclosed
- Location
- Dublin, Ireland
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ml / AI
- Posted
Skills
Nice to have
- 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.
- Familiarity with GenAI and LLM application patterns and technologies, including RAG, evaluation and guardrails, agentic workflows, or vector databases.
- Major game engines such as Unreal or Unity.
Full description
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.
What We Need
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.
What You Will Do
- 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.
- Design and rapidly prototype ML-powered products for applications including recommenders, matchmaking, cheat/toxicity intervention, and economy balancing.