Machine Learning Engineer
Stripe•2w ago
United StatesOnsite$212K–$318KFull-time
H-1B sponsor
Top focus
Ml EngineerSenior Ml EngineerDeep Learning EngineerRl Engineer
- 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
- accelerate new business opportunities. Our mission is to increase the GDP of the internet
- 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
- 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
Required skills
SparkPyTorchTensorFlowTransformers