Machine Learning Engineer, Stripe
$212-318k
More information about location
A financial infrastructure platform for businesses
Posted today
A financial infrastructure platform for businesses
1001+ employees
Posted today
$212-318k
More information about location
1001+ employees
Company mission
To increase the GDP of the internet
Role
Who you are
- 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
- At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us
What the job involves
- 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
- 40 hrs/week
Our take
Stripe, nowadays a FinTech giant, spent the first few years since its founding building up its payments business, which primarily consisted of providing an API to eCommerce businesses so that they could easily integrate a payment option in their apps or websites, where before there was none.
More recently, Stripe has started to accelerate its growth with a significantly larger range of financial services including cash advances and credit cards. They also plan to build incorporation services, fraud protection, and more, diversifying its revenue away from payments and differentiating itself from its competitors.
To further expand its position, the company is extending its services to countries with vast customer potential, including Brazil, Japan and India. It is also partnering with OpenAI, the company behind ChatGPT - a win-win collaboration that is monetising OpenAI’s flagship products and at the same time enhancing Stripe with GPT-4, as it moves forward with intentions to "build the payments foundation for tomorrow's AI economy."
Freddie
Company Specialist at Welcome to the Jungle
Insights
-5% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Mar 2023
$6.5bn
GROWTH EQUITY VC
Mar 2021
$600m
SERIES H
Total funding: $8.7bn
Company benefits
- Unlimited paid time off policy
- Work from home opportunities
- Comprehensive mental, physical and medical health plans
- Fertility benefits and parental leave
Company HQ
SoMa, San Francisco, CA
Leadership
Patrick Collison
(CEO)Studied maths at MIT before founding Stripe. Also on the board of the Long Now Foundation.
John Collison
(President)Studied at Harvard but dropped out to found Stripe.
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