or apply directly on Peloton's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days Peloton's roles stay open a median of 45 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 2% of Peloton's roles list one
- Ghost-job risk at Peloton
- high 25 stale, 6 reposted of 49 open
- Hiring momentum
- 96 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Peloton's own greenhouse board since 2026-08-03. Full hiring picture for Peloton.
About this role
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
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Peloton as an employer.
What you need
- 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 you get
- 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
Worth weighing
- 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
Summarised from Peloton's posting. Read the full original.
Listed by Peloton on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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