# Senior Machine Learning Engineer at Thatgamecompany

- Company: Thatgamecompany
- What the company does: thatgamecompany is a game studio dedicated to creating timeless interactive entertainment that inspires human connection worldwide. Critically acclaimed games Journey, Flower and flOw. Backed by Kleiner Perkins.
- Company website: https://thatgamecompany.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote - US
- Work setup: Remote
- Pay: $120K to $206K base salary per year (USD)
- Posted: 2026-03-20
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/thatgamecompany/6eb64738-c5cf-43a7-852e-fac538ed5759
- Page: https://www.1752.vc/careers/jobs/thatgamecompany-senior-machine-learning-engineer/

## About the role

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders.

## What they're looking for

- 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products
- Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task
- Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance
- Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP
- Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction
- Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

Tags: ITS