Staff ML Engineer, IT Data & Analytics
Tesla
Staff ML Engineer, IT Data & Analytics
Job Description
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.
Locations
- Fremont, California, United States
Salary
144,000 - 240,000 USD / yearly
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Pythonintermediate
- experience using Pandasintermediate
- experience using PyTorchintermediate
- experience using NumPyintermediate
- experience using Scikitintermediate
- experience using K8sintermediate
- Experience with Airflowintermediate
- Experience with FastAPIintermediate
- Experience with Kubeflowintermediate
- implementing DAGsintermediate
- statistical understandingintermediate
- fundamentals in classical machine learningintermediate
- linear algebraintermediate
- Experience with ETLingintermediate
- feature engineeringintermediate
- data modelingintermediate
- data structuresintermediate
Required Qualifications
- 5+ years of experience shipping and maintaining real-time models in production to a large audience (experience, 5 years)
- Strong proficiency in Python, with experience using Pandas, PyTorch, NumPy, Scikit, and K8s (experience)
- Experience with Airflow and FastAPI, Kubeflow and implementing DAGs (experience)
- Strong statistical understanding and fundamentals in classical machine learning and linear algebra (experience)
- Experience with ETLing, feature engineering, data modeling, and data structures (experience)
- Degree in Computer Science, Electrical Engineering, Mathematics, Physics, Machine Learning, or Data Science or equivalent experience (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
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories
Staff ML Engineer, IT Data & Analytics
Tesla
Staff ML Engineer, IT Data & Analytics
Job Description
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.
Locations
- Fremont, California, United States
Salary
144,000 - 240,000 USD / yearly
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- proficiency in Pythonintermediate
- experience using Pandasintermediate
- experience using PyTorchintermediate
- experience using NumPyintermediate
- experience using Scikitintermediate
- experience using K8sintermediate
- Experience with Airflowintermediate
- Experience with FastAPIintermediate
- Experience with Kubeflowintermediate
- implementing DAGsintermediate
- statistical understandingintermediate
- fundamentals in classical machine learningintermediate
- linear algebraintermediate
- Experience with ETLingintermediate
- feature engineeringintermediate
- data modelingintermediate
- data structuresintermediate
Required Qualifications
- 5+ years of experience shipping and maintaining real-time models in production to a large audience (experience, 5 years)
- Strong proficiency in Python, with experience using Pandas, PyTorch, NumPy, Scikit, and K8s (experience)
- Experience with Airflow and FastAPI, Kubeflow and implementing DAGs (experience)
- Strong statistical understanding and fundamentals in classical machine learning and linear algebra (experience)
- Experience with ETLing, feature engineering, data modeling, and data structures (experience)
- Degree in Computer Science, Electrical Engineering, Mathematics, Physics, Machine Learning, or Data Science or equivalent experience (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
- general: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
- general: Family-building, fertility, adoption and surrogacy benefits
- general: Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- general: Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
- general: Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- general: 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- general: Company paid Basic Life, AD&D, short-term and long-term disability insurance
- general: Employee Assistance Program
- general: Sick and Vacation time (Flex time for salary positions), and Paid Holidays
- general: Back-up childcare and parenting support resources
- general: Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- general: Weight Loss and Tobacco Cessation Programs
- general: Tesla Babies program
- general: Commuter benefits
- general: Employee discounts and perks program
Tags & Categories