3 hours ago
South San Francisco, CA, USAMid Level
H1B Sponsor
Base Salary
$212k - $318k/yr
Responsibilities
- Design ML models and large-scale ML systems for underwriting and portfolio management subject to business, risk, regulatory, and engineering constraints.
- Design systems that accelerate the development and deployment of new models.
- Experiment and iterate on ML models using tools including PyTorch and TensorFlow.
- Develop automated pipelines to train and evaluate models in offline and online environments.
- Integrate ML models into production systems and ensure scalability and reliability.
- Collaborate with product and strategy partners to propose, prioritize, and implement product features.
- Evaluate emerging ML and AI developments and turn innovative ideas into production solutions.
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field.
- At least two years of experience building and shipping ML systems in production.
- At least two years of experience with ML algorithms and model architectures, designing, training, and evaluating models, productionizing and deploying models at scale, orchestrating data pipelines and leveraging large-scale datasets, and solving business problems with deployed ML models.
- At least one year of experience with ML libraries and frameworks including PyTorch, TensorFlow, XGBoost, or Spark.
- At least one year of experience with deep learning, including transformers, test-time compute, or reinforcement learning.
Benefits
- 40 hours per week
- 50% telecommuting permitted
- Multiple positions available
- Equity, company bonus or applicable sales commissions/bonuses
- 401(k) plan
- Medical, dental, and vision benefits
- Wellness stipends
Tech Stack
Categories
About Stripe
Stripe builds programmable financial services. 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. Headquartered in San Francisco and Dublin, the company aims to increase the GDP of the internet.