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StripeGlobal Operations

Machine Learning Engineer

South San Francisco, CAFull-timeMid-Level$212,000 – $318,000
Posted Sep 4, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationSouth San Francisco, CA
Job typeFull-time
Salary$212,000 – $318,000
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Mid-Level
Work style
Not specified
Visa sponsorship
Not specified
Salary
$212,000 – $318,000
Key skills
PaymentsMachine LearningUnderwriting

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Company insights

55

Happiness score

55/100

Based on 31 verified employee signals

Stripe reports 41% first-half revenue growth

Stripe told investors that first-half 2026 revenue rose 41% year over year and free cash flow increased 43%, according to an investor letter obtained by Axios.

mid-2026From the webAxios→

Stripe appoints Eileen O'Mara vice chair and Tyler Bryson CRO

Stripe named former chief revenue officer Eileen O'Mara vice chair and promoted Tyler Bryson, who joined in 2025 after more than two decades at Microsoft, to chief revenue officer.

mid-2026From the webStripe Newsroom→

Stripe unveils 288 products and features at Sessions 2026

Stripe's launches included Link wallets for AI agents, an expanded Agentic Commerce Suite, stablecoin-backed cards in 30 countries, and broader access to its Managed Payments product.

spring 2026From the webStripe Blog→

Employee tender offer values Stripe at $159 billion

Stripe signed a tender offer backed mainly by Thrive Capital, Coatue, Andreessen Horowitz and other investors, providing employee liquidity at a $159 billion valuation.

early 2026From the webStripe Newsroom→

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Design and ship state‑of‑the‑art ML models and large‑scale systems for Stripe Capital, build pipelines for training/evaluating models, and integrate them into production with reliability and scalability.

What they're looking for

A candidate with a BS in CS, ML, or related field and at least two years of hands‑on experience building, deploying, and scaling ML models, plus familiarity with PyTorch, TensorFlow, XGBoost or Spark and deep‑learning techniques.

Why this role matters

The role directly powers underwriting and portfolio management for Stripe Capital, driving key business outcomes and expanding Stripe’s financial infrastructure across the internet.

About this role

Who we are

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

  • 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.

Who you are

Minimum requirements

Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.

Must have two (2) years of experience in each of the following:

  • 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.

Must have one (1) year of experience in each of the following:

  • ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and
  • Deep learning, including transformers, test-time compute, or reinforcement learning.

Salary: $212,000 - $318,000/yr.  

This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available. 

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

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More about this role

About company

Required skills

PaymentsMachine LearningUnderwriting