Machine Learning Engineer

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.

• 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.

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