Machine Learning Engineer

Stripe · South San Francisco, CA · Global Operations · listed August 17, 2026

Tailor your resume for this role →the original posting ↗

The shape of it

Seniority
Not stated
Where
Not stated
Stated pay
$212,000 – $318,000
Requirements listed
7
Length
396 words

In the posting’s own words

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA29

What it asks for · 7

  • ML algorithms and model architectures;
  • Designing, training and evaluating machine learning models;
  • Productionizing and deploying machine learning models at scale;
  • Orchestrating data pipelines and leveraging large-scale datasets; and
  • Building and deploying ML models to solve business problems.
  • ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
  • Deep learning, including transformers, test-time compute, or reinforcement learning.

What the job covers

  • Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.
  • Design systems to speed up the time from idea to deployment of new models.
  • Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.
  • Develop pipelines and automated processes to train and evaluate models in offline and online environments.
  • Integrate ML models into production systems and ensure their scalability and reliability.
  • Collaborate with product and strategy partners to propose, prioritize, and implement new product features.
  • Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.

Tools and skills named

Models & research
  • Machine learning14×
  • PyTorch2×
  • TensorFlow2×
  • Deep learning
  • Reinforcement learning
Data
  • Data pipelines
  • Spark
  • Statistics
Product & design
  • Design systems
Security & compliance
  • Regulatory

Words the posting leans on

  • models9×
  • systems4×
  • experience3×
  • machine learning3×
  • building2×
  • business2×
  • deploying2×
  • design2×
  • following2×
  • idea2×
  • large-scale2×
  • learning models2×
  • pipelines2×
  • product2×
  • production2×
  • pytorch2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

The posting, your resume, and the gaps between them. One click loads all three.

Tailor your resume for this role →apply on Stripe’s board ↗

More open at Stripe

every open role at Stripe →

How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Stripe on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.