Machine Learning Engineer
Stripe · South San Francisco, CA
Posted about a month ago · $212,000 - $318,000
or apply directly on Stripe's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days Stripe's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- Yes 3% of Stripe's roles list one
- Ghost-job risk at Stripe
- low 0 stale, 52 reposted of 633 open
- Hiring momentum
- 892 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 Stripe's own greenhouse board since 2026-08-03. Full hiring picture for Stripe.
About this role
As a Machine Learning Engineer at Stripe, you will design and implement advanced ML models and systems specifically for underwriting and portfolio management. Your role will involve experimenting with models, developing automated training pipelines, and integrating these models into production while ensuring their reliability and scalability. Collaboration with product and strategy teams will also be key to proposing and implementing new features.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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 Stripe as an employer.
What you need
- Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
- 2 years of experience in building and shipping ML systems in production
- 2 years of experience with ML algorithms and model architectures
- 2 years of experience designing, training, and evaluating machine learning models
- 2 years of experience productionizing and deploying machine learning models at scale
- 2 years of experience orchestrating data pipelines and leveraging large-scale datasets
What you get
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Worth weighing
- Salary range provided is quite broad, indicating potential variability in compensation based on experience or negotiation
- 50% telecommuting permitted may suggest a flexible work environment but could also indicate a need for in-office collaboration
- Multiple positions available could imply a growing team or high turnover
- The role involves significant collaboration, which may require strong interpersonal skills
Summarised from Stripe's posting. Read the full original.
Listed by Stripe on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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