Machine Learning Engineer, Geometric Vision, Self-Driving
Tesla
Machine Learning Engineer, Geometric Vision, Self-Driving
Job Description
Join our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception.
Locations
- Palo Alto, California, United States
Salary
140,000 - 420,000 USD / yearly
Estimated Salary Rangehigh confidence
180,000 - 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 writing production-quality code in Pythonintermediate
- Proficiency in c++intermediate
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learningintermediate
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)intermediate
- Practical experience with PyTorchintermediate
- Familiarity with deploying neural network modelsintermediate
Required Qualifications
- Proven ability to rapidly prototype and optimize algorithms (experience)
- Proficiency in writing production-quality code in Python (experience)
- Proficiency in c++ is highly desirable (experience)
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience (experience)
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting) (experience)
- Practical experience with PyTorch (experience)
- Familiarity with deploying neural network models is an advantage (experience)
Preferred Qualifications
- Proficiency in c++ is highly desirable (experience)
- Familiarity with deploying neural network models is an advantage (experience)
Responsibilities
- Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques
- Leverage vast amounts of fleet data for algorithm development and validation
- Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems
- Deploy and scale your work across millions of autonomous vehicles worldwide
- Collaborate closely with a high-caliber team dedicated to realizing full autonomy
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
Machine Learning Engineer, Geometric Vision, Self-Driving
Tesla
Machine Learning Engineer, Geometric Vision, Self-Driving
Job Description
Join our Self-Driving team to help shape one of the most advanced and widely-deployed computer vision systems in the world. As a key contributor, you will drive innovation in geometric vision, tackling challenges related to both the vehicle dynamics and environmental perception.
Locations
- Palo Alto, California, United States
Salary
140,000 - 420,000 USD / yearly
Estimated Salary Rangehigh confidence
180,000 - 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 writing production-quality code in Pythonintermediate
- Proficiency in c++intermediate
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learningintermediate
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)intermediate
- Practical experience with PyTorchintermediate
- Familiarity with deploying neural network modelsintermediate
Required Qualifications
- Proven ability to rapidly prototype and optimize algorithms (experience)
- Proficiency in writing production-quality code in Python (experience)
- Proficiency in c++ is highly desirable (experience)
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience (experience)
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting) (experience)
- Practical experience with PyTorch (experience)
- Familiarity with deploying neural network models is an advantage (experience)
Preferred Qualifications
- Proficiency in c++ is highly desirable (experience)
- Familiarity with deploying neural network models is an advantage (experience)
Responsibilities
- Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques
- Leverage vast amounts of fleet data for algorithm development and validation
- Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems
- Deploy and scale your work across millions of autonomous vehicles worldwide
- Collaborate closely with a high-caliber team dedicated to realizing full autonomy
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