Staff ML Engineer, IT Data & Analytics

Job Description

We are looking for a highly skilled Staff Machine Learning Engineer to join the Data Engineering and Analytics team, responsible for developing, maintaining, and deploying various machine learning models to power key business functions.

Requirements

• 5+ years of experience shipping and maintaining real-time models in production to a large audience
• Strong proficiency in Python, with experience using Pandas, PyTorch, NumPy, Scikit, and K8s
• Experience with Airflow, FastAPI, Kubeflow, and implementing DAGs
• Strong statistical understanding and fundamentals in classical machine learning and linear algebra
• Experience with ETLing, feature engineering, data modeling, and data structures
• Degree in Computer Science, Electrical Engineering, Mathematics, Physics, Machine Learning, or Data Science or equivalent experience

Responsibilities

• Develop and deploy machine learning models to production, serving millions of users
• Collaborate with product, business, and end-users to ensure successful model implementation
• Own production models end-to-end, from writing ETLs for features to serving models using our in-house ML platform
• Contribute to the development and automation of our ML Platform with high ownership
• Work on a wide range of models, including classification, regression, optimization, and recommendation algorithms

Benefits

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.