Stripe

Machine Learning Engineer

Stripe$212K — $318K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Machine Learning, or related field
  • 2 years of experience building and shipping ML systems
  • 2 years of experience with ML algorithms and model architectures
  • 2 years of experience in deploying ML models at scale
  • 1 year of experience with ML libraries like PyTorch or TensorFlow
  • 1 year of experience in deep learning methodologies

Responsibilities

  • Design cutting-edge ML models for underwriting and portfolio management
  • Speed up deployment of new model ideas
  • Experiment with ML models to meet business objectives
  • Develop automated pipelines for training and evaluating models
  • Integrate ML models into existing production systems
  • Collaborate with product teams to implement new features
  • Stay updated on ML/AI developments and innovate

Benefits

  • Equity in the company
  • 401(k) plan
  • Comprehensive medical, dental, and vision benefits
  • Wellness stipends
  • Potential company bonuses or commissions
Full Job Description
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, 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
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About Stripe

Stripe is a technology company that builds economic infrastructure for the internet. Businesses of every size—from new startups to public companies—use our software to accept payments and manage their businesses online. Stripe helps new companies get started and grow their revenues, and established businesses accelerate into new markets and launch new business models. Stripe powers businesses all over the world, from the new startup that just launched yesterday to the Fortune 500 companies that we all know and love. Stripe is headquartered in San Francisco, with offices in Dublin, London, Paris, Singapore, Tokyo, and more.
Learn more about Stripe
Size
4,000 employees
Industry
Founded
2010

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