Staff ML Engineer, IT Data & Analytics
About The Position
We are seeking a highly skilled Staff Machine Learning Engineer to join the Data Engineering and Analytics team. As a full-stack Machine Learning Engineer, you will work on a wide range of models, including parametric, text, and image-based models, that power key business functions. You will be responsible for developing, maintaining and deploying classification, regression, optimization, and recommendation algorithms, as well as search and image-NLP algorithms. 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
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 and 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
- Developing, maintaining and deploying classification, regression, optimization, and recommendation algorithms, as well as search and image-NLP algorithms
- 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
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
