at Stripe
FinTechPosted 4 days ago
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**Machine Learning Engineer (Write-Driven): Design, Deploy & Scale ML Systems at Stripe** - **Key Responsibilities**: Design high-quality ML models and large-scale systems for Stripe Capital. Streamline model deployment, iterate for efficiency, and integrate into production systems. Collaborate cross-functionally to launch new product features and nurture innovation. - **Required Skills**: Proficient in PyTorch, TensorFlow, and deep learning techniques (transformers, reinforcement learning). Proven experience (2+ years) in ML algorithms, model design, and production deployment. Comfortable managing large-scale datasets and data pipelines. - **Experience Level**: Bachelor's degree in relevant field plus two years of experience in building and shipping ML systems. Additional experience in risk, regulatory constraints, and domain-specific knowledge is a plus. - **Work & Compensation**: Full-time (40 hrs/week), 50% remote. Salary range: $212,000 - $318,000/yr. Benefits include equity, 401(k), medical & dental coverage, and wellness stipends.
- Compensation
- $212,000 – $318,000 USD
- City
- Not specified
- Country
- Not specified
Currency: $ (USD)
Full Job Description
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the worlds 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 youll 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
