Senior Machine Learning Engineer

thatgamecompany · Remote · Remote - US ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote (US/CA)
  • Python + Java/Scala
  • Kubernetes + GCP
  • No visa sponsorship

Join the team as a Senior Machine Learning Engineer to drive the development of core ML models and underlying training pipelines. You will own projects end-to-end, from inception to delivery, while collaborating with peers and stakeholders to identify and execute workflows.

The ideal candidate is autonomous, comfortable with ambiguity, and passionate about video games. You will translate complex technical concepts for non-technical audiences and proactively pursue business needs within a startup-like environment.

What you'll do

  • Drive development of core ML models and data pipelines
  • Own projects from inception through delivery and beyond
  • Identify, prioritize, and execute workflows with stakeholders
  • Translate complex technical architectures for non-technical teams
  • Navigate ambiguity to refine problem spaces iteratively

What you'll need

  • 5+ years in ML, Data Engineering, or quantitative fields
  • Track record of delivering end-to-end ML products
  • Expertise in Classical ML, Deep Learning, NLP, Anomaly Detection
  • Proficiency in experimental design and hypothesis testing
  • Strong coding skills in Python, Java, or Scala
  • Mastery of optimized SQL and big data frameworks like Spark
  • Experience deploying scalable solutions on Kubernetes and GCP

Nice to have

  • Experience with graph databases or collaborative filtering
  • Background in large-scale sentiment analysis
  • Proficiency in Typescript or Golang
  • Familiarity with CICD, Protobuf, or infrastructure as code
  • Prior experience in the video game industry
  • Interest in technical writing and sharing work

Stack

  • Python
  • Java
  • Scala
  • SQL
  • Spark
  • Beam
  • BigQuery
  • Snowflake
  • Iceberg
  • Parquet
  • Kubernetes
  • GCP
  • Typescript
  • Golang
  • Protobuf

How you'll work

  • Fully remote within US and Canada
  • Must be authorized to work in the US
  • No visa sponsorship available

What you get

  • Medical, dental, and vision coverage from day one
  • Paid time off, holidays, and two weeks winter break
  • 401K program with company match
  • Pet insurance and compassionate leave
  • Pre-tax wellness and work-from-home stipends
  • Headspace membership and EAP access
  • Discount portal for goods and services