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Machine Learning Engineer III

Peloton
Location
New York, New York
Posted
19 days ago
Department
Software
What they actually want (must-haves)
  • Degree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
  • 3+ years of experience working in at least one of the following ML disciplines: recommender systems, natural language processing or computer vision
  • Strong understanding of software engineering principles and fundamentals including data structures and algorithms
  • Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility
  • Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB
  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
Nice to have
  • MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc. preferred
  • Comfortable working with near real-time ML applications, preferred
  • Proven track record of working with product managers to launch ML-based product features, preferred
What the job really is

As a Machine Learning Engineer III on the Personalization team at Peloton, you will focus on optimizing member engagement through AI and ML techniques for content recommendations. Your role involves building and improving machine learning pipelines, deploying scalable microservices, and collaborating with various teams to enhance personalized experiences for users. You will also conduct research, run experiments, and manage the ML infrastructure necessary for real-time applications.

Benefits
  • Medical, dental and vision insurance
  • Generous paid time off policy
  • Short-term and long-term disability
  • Access to mental health services
  • 401k, tuition reimbursement and student loan paydown plans
  • Employee Stock Purchase Plan
Things to weigh
  • No salary listed, only a range provided
  • Role involves working with high-concurrency ML inference endpoints which may require strong performance under pressure
  • Emphasis on collaboration with product teams may indicate a need for strong interpersonal skills
Job score3.8/5
Benefits5/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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