Design and implement state-of-the-art ML models and systems for Stripe Capital, collaborating with product teams to drive business goals.
Posted by employer 3 weeks ago
First seen on Joblaze 1 week ago
Last verified on the company career page 18 hours ago
Skills & Technologies
Requirements
- Experience
- 2 years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Machine Learning Engineer at Stripe focuses on designing and implementing advanced ML models and systems for underwriting and portfolio management. Proficiency in tools like PyTorch and TensorFlow is essential, along with experience in deploying scalable ML solutions and orchestrating data pipelines. This position is ideal for someone with a solid background in computer science or a related field, coupled with practical experience in productionizing machine learning systems. The team is engaged in cutting-edge developments in ML/AI, contributing to Stripe's mission of enhancing global economic access.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Stripe's career page.
- Stripe has 674 other open roles including Channel Sales Executive, SaaS Platforms, Customer Success Manager, RFA, Account Executive, Enterprise (Hunter) .
- 481 active PyTorch roles on Joblaze right now.
- 374 active Spark roles on Joblaze right now.
- 223 active TensorFlow roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 71% of the 247 salaried PyTorch roles we track (median $188,275).
Quick facts
- Is the Machine Learning Engineer role remote?
- It's hybrid — Stripe expects some on-site time in South San Francisco, CA.
- What's the salary range?
- Stripe lists $212,000–$318,000 for this role.
- How much experience is required?
- 2–2 years of relevant experience for this Machine Learning Engineer role.
- Where is the role based?
- Stripe is hiring for this position in South San Francisco, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: PyTorch, Spark, TensorFlow, XGBoost.
- What seniority level is this role?
- Stripe targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer role at Stripe.
From the original posting
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