Machine Learning Engineer

Stripe

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: South San Francisco, CA
Salary: $212,000–$318,000 / yr
Posted: 24 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $265k

$158k most similar roles pay here $335k

This role pays more than 88% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $265k versus about $223k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 173 open roles on FindRole.

Listed pay typically runs $190,400–$285,600 across 171 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Machine Learning Engineer

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As a Machine Learning Engineer, you will join the team to design state-of-the-art machine learning models and large-scale systems for underwriting and portfolio management within Stripe Capital. You will be responsible for building automated pipelines to train and evaluate models in both offline and online environments while ensuring these solutions are scalable and reliable in production. Your daily work involves experimenting with model architectures, integrating new features into production systems, and collaborating with product partners to solve complex business problems. To succeed, you must utilize technologies including PyTorch, TensorFlow, XGBoost, and Spark. You will apply expertise in deep learning, transformers, test-time compute, or reinforcement learning to address specific risk, regulatory, and engineering constraints while transforming innovative machine learning ideas into productionized solutions for the financial infrastructure platform's portfolio management needs.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

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Skills

Machine Learning PyTorch TensorFlow XGBoost Spark Deep Learning Transformers Reinforcement Learning Data Pipelines

What you'll do

Design state-of-the-art ML models and large-scale systems for underwriting and portfolio management.
Develop systems to accelerate the timeline from initial model idea to production deployment.
Experiment and iterate on ML models using PyTorch and TensorFlow to achieve business goals.
Build automated pipelines to train and evaluate models in both offline and online environments.
Integrate ML models into production systems while ensuring scalability and reliability.
Transform innovative ML ideas into productionized solutions by engaging with the latest AI developments.

What we're looking for

Bachelor's degree in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field.
Two years of experience building and shipping ML systems in production.
Two years of experience in ML algorithms, model architectures, and designing, training, and evaluating models.
Two years of experience producing and deploying machine learning models at scale.
Two years of experience orchestrating data pipelines and leveraging large-scale datasets.
Two years of experience building and deploying ML models to solve business problems.
One year of experience with ML libraries and frameworks including PyTorch, TensorFlow, XGBoost, or Spark.
One year of experience in deep learning, including transformers, test-time compute, or reinforcement learning.