Machine Learning Engineer

Doist; South San Francisco (CA); Hybrid; USD 212,000 - 318,000; Full time

Benefits offered by this job

Equity

Company bonus

401(k) plan

Medical, dental and vision

Wellness stipends

Job summary

Stripe Stripe, LLC. is seeking a skilled ML engineer to design and deploy large-scale ML models for underwriting and portfolio management within Stripe Capital.

You will build systems to accelerate model deployment, run experiments with PyTorch and TensorFlow, and integrate production-grade pipelines for offline and online evaluation. The role requires a strong foundation in ML theory and practical experience deploying models at scale, with collaboration across product and strategy teams to

Qualifications

• Bachelor's degree in CS/ML/Math/Physics/Statistics or related field + 2 years building and shipping ML systems in production.
• 2 years of experience in ML algorithms and model architectures; training/evaluating models; productionizing at scale; data pipelines with large datasets.
• 1 year experience with PyTorch, TensorFlow, XGBoost or Spark; deep learning including transformers or reinforcement learning.

Responsibilities

• Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital.
• Design systems to speed up deployment of new models.
• Experiment and iterate on ML models using PyTorch and TensorFlow to meet business goals.
• Develop pipelines to train/evaluate models in offline and online environments.
• Integrate ML models into production systems ensuring scalability and reliability.
• Collaborate with product and strategy teams to propose and implement new features.

Skills

ML systems

Data pipelines

Production deployment

Risk modeling

Education

Bachelor's degree in CS/ML/Math/Physics/Statistics

Tools

PyTorch

TensorFlow

XGBoost

Spark

Job description

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

• 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.

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