Machine Learning Engineer

At Stripe, a Most Loved Workplace® certified employer in the Financial Services space, Economic infrastructure for the internet, powering ambitious businesses globally..

<h2><strong>Who we are</strong></h2>

<h3><strong>About Stripe</strong></h3>

<p>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.</p>

<h2><strong>What you’ll do</strong></h2>

<h3><strong>Responsibilities</strong></h3>

<ul>

<li>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. </li>

<li>Design systems to speed up the time from idea to deployment of new models. </li>

<li>Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency. </li>

<li>Develop pipelines and automated processes to train and evaluate models in offline and online environments. </li>

<li>Integrate ML models into production systems and ensure their scalability and reliability. </li>

<li>Collaborate with product and strategy partners to propose, prioritize, and implement new product features. </li>

<li>Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.</li>

</ul>

<h2><strong>Who you are</strong></h2>

<h3><strong>Minimum requirements</strong></h3>

<p>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.</p>

<p>Must have two (2) years of experience in each of the following:</p>

<ul>

<li>ML algorithms and model architectures;</li>

<li>Designing, training and evaluating machine learning models;</li>

<li>Productionizing and deploying machine learning models at scale;</li>

<li>Orchestrating data pipelines and leveraging large-scale datasets; and</li>

<li>Building and deploying ML models to solve business problems.</li>

</ul>

<p>Must have one (1) year of experience in each of the following:</p>

<ul>

<li>ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and</li>

<li>Deep learning, including transformers, test-time compute, or reinforcement learning.</li>

</ul>

<p>Salary: $212,000 - $318,000/yr.  </p>

<p>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.</p>

<p>40 hrs/week</p>

<p>50% Telecommuting Permitted.</p>

<p>Multiple Positions Available. </p>

<p>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.<strong> </strong><strong>CA29</strong></p>

<h3><strong>#LI-DNI</strong></h3>

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