Machine Learning Engineer

Stripe · South San Francisco, CA$17,667–$26,500 USD/mesmid

In short

▸Diseñar y producir modelos de ML para supervisar riesgos y gestionar carteras en Stripe Capital.
▸Trabajar en sistemas a gran escala con PyTorch, TensorFlow y pipelines automatizados para acelerar la implementación de modelos.
▸Destacado: Transformar ideas de ML innovadoras en soluciones operativas con impacto directo en el crecimiento económico global.

Se requiere inglés para roles de ingeniería de ML.

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What they ask for

✓Título universitario en CS, ML, Matemáticas, Física, Estadística o campo relacionado.
✓2 años de experiencia en construcción y despliegue de sistemas de ML en producción.
✓2 años de experiencia en algoritmos y arquitecturas de ML.
✓2 años en diseño, entrenamiento y evaluación de modelos de ML.
✓2 años en producción y despliegue a escala de modelos de ML.
✓1 año de experiencia con PyTorch, TensorFlow, XGBoost o Spark; y en deep learning (transformers, test-time compute, RL).

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PyTorchTensorFlowXGBoostSparkML algorithmsmodel architecturesdata pipelineslarge-scale datasetsML model deploymentproduction systems

Who should you write to at Stripe?

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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 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 #LI-DNI

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