Senior Machine Learning Engineer
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At a glance
Job overview
thatgamecompany is hiring a Senior Machine Learning Engineer. The company seeks a highly motivated, autonomous Senior Machine Learning Engineer to drive core ML models and data pipelines, own end‑to‑end projects, and clearly explain complex technical concepts to both technical and non‑technical stakeholders while collaborating with peers and stakeholders.
Key focus areas include Have deep passion for video games and think on behalf of players, Be curious, problem‑solve, and self‑start while proactively identifying business needs, and Navigate ambiguity to iteratively refine problem space.
Successful candidates bring 5+ Years Machine Learning Experience, 5+ Years Data Engineering Experience, and Track Record Of Delivering End-To-End ML Products. Important skills include Machine Learning, Data Engineering, Statistical Modeling, Classical ML, Deep Learning, and NLP. Preferred (not required): Graph Databases, Collaborative Filtering, User Vectorization, and Large-Scale Sentiment Analysis.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Senior Machine Learning Engineer
Remote US & Canada
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. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.
We expect you to:
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Have deep passion for video games and think on behalf of our players
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Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you
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Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
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Be responsible for your domain of expertise on projects from inception to delivery and beyond
Required Skills
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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
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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
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Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance
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Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP
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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
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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)
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Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders
Preferred Experience
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:
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Experience with graph databases, collaborative filtering, or user vectorization
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Experience with large-scale sentiment analysis
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Experience with Typescript or Golang
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Experience with source control, CICD, Protobuf, or infrastructure as code
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Experience in the video game industry
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Experience in a small company with a startup feel
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Interest in technical writing and sharing your work
Perks:
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Paid Time Off, Holidays and Two Weeks Winter Break
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Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.
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Pet Insurance for those who need it too.
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Compassionate leave for employees who needs to take care of their family members
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Pre-tax wellness stipend
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Pre-tax work from home stipend
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Access our savings plan (401K program) with company match
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Mental health resources including Headspace membership and Employee Assistance Program (EAP)
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Discount portal for everyday goods and services
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Employee inclusive and diversity initiatives such as Grow Together
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Support for personal professional development
We look forward to meeting you!
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.
Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.
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