---
title: "Machine Learning Engineer"
company: "Stripe"
company_url: "https://www.remjobs.works/companies/stripe"
url: "https://www.remjobs.works/job/stripe-machine-learning-engineer-380d57a9-fe5b-423e-b16b-558f42047748"
apply_url: "https://stripe.com/jobs/search?gh_jid=8137997"
workplace: onsite
location: "South San Francisco, CA"
employment_type: unspecified
seniority: mid
role: ai-machine-learning
region: united-states
skills: ["pytorch", "tensorflow"]
date_posted: 2026-08-17T22:06:29.000Z
first_seen_by_remjobs: 2026-08-26T15:15:09.172Z
---

# Machine Learning Engineer

**Stripe** — South San Francisco, CA

Apply: https://stripe.com/jobs/search?gh_jid=8137997

## About Stripe

Stripe is a financial services platform that helps all types of businesses accept payments, build flexible billing models and manage money movement.

## About the 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**

##### #LI-DNI

---

Source: Stripe's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/stripe-machine-learning-engineer-380d57a9-fe5b-423e-b16b-558f42047748