Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply ...
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply ...
Machine Learning Engineer
Carlsbad, CA · On-site
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Machine Learning Engineer
Carlsbad, CA · On-site
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Machine Learning Engineer
New York, NY · On-site
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
Quick apply
Machine Learning Engineer
New York, NY · On-site
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...
Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the Research and Development Team, where ...
Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the Research and Development Team, where ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer
Carlsbad, CA · On-site
Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
Machine Learning Engineer Full-time Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models. * Design, implement and tune machine learning ...
We are adding a Machine Learning Engineer to our team! This person will play a key role in ... you? * Full-time salaried consultant position * A true stake in success. SDG is an ESOP - 100 ...
We are adding a Machine Learning Engineer to our team! This person will play a key role in ... you? * Full-time salaried consultant position * A true stake in success. SDG is an ESOP - 100 ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in ... you? * Full-time salaried consultant position * A true stake in success. SDG is an ESOP - 100 ...
Machine Learning Engineer
Minneapolis, MN · On-site
We are adding a Machine Learning Engineer to our team! This person will play a key role in ... you? * Full-time salaried consultant position * A true stake in success. SDG is an ESOP - 100 ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Quick apply
Machine Learning Engineer
Huntsville, AL · On-site
Machine Learning Engineer Position Type: Full-time, On-Site Location: Huntsville, AL Clearance: Active TS Description: Waypoint's client is seeking a Machine Learning Engineer to support mission ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$172K - $384K/yr
They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$172K - $384K/yr
They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...
Systems Engineer. We seek Machine Learning Engineer | Data Management & Business Intelligence ... Our growing list of benefits currently includes the following for Full-Time Employees:
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We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... Our growing list of benefits currently includes the following for Full-Time Employees:
We seek Machine Learning Engineer | Data Management & Business Intelligence - Data Scientist ... Our growing list of benefits currently includes the following for Full-Time Employees:
Machine Learning Engineer
New York, NY · On-site
... Machine Learning Engineer while also providing a truly unparalleled educational experience ... You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ...
Machine Learning Engineer
New York, NY · On-site
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They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...
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Machine Learning Engineer
Chicago, IL · Hybrid
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Chicago, IL · Hybrid
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Machine Learning Engineer
South San Francisco, CA · On-site +1
$168K - $312K/yr
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New
Machine Learning Engineer
South San Francisco, CA · On-site +1
$168K - $312K/yr
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New
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Human Capital Technology Support ... Our growing list of benefits currently includes the following for Full-Time Employees:
ProSidian.com ProSidian Seeks a Machine Learning Engineer | Human Capital Technology Support ... Our growing list of benefits currently includes the following for Full-Time Employees:
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Machine Learning Engineer
Manhattan, NY · On-site
We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world ...
Full Time Tesla Machine Learning Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do full time tesla machine learning engineer jobs pay per year?
As of Jul 11, 2026, the average yearly pay for full time tesla machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
What is the difference between Full Time Tesla Machine Learning Engineer vs Full Time Tesla Data Scientist?
| Aspect | Full Time Tesla Machine Learning Engineer | Full Time Tesla Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, ML, or related field; experience with ML frameworks | Bachelor's or Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Develops ML models for autonomous driving, energy, and manufacturing | Analyzes data to inform business decisions, optimize processes |
| Employer & Industry Usage | Tesla's AI and autonomous vehicle teams | Tesla's data analytics and business intelligence teams |
While both roles require strong technical skills and experience with data, Tesla Machine Learning Engineers focus on developing and deploying ML models for autonomous systems, whereas Tesla Data Scientists analyze data to support strategic decisions. The roles overlap in skills but differ in application and focus.
More about Full Time Tesla Machine Learning Engineer jobs
What cities are hiring for Full Time Tesla Machine Learning Engineer jobs? Cities with the most Full Time Tesla Machine Learning Engineer job openings:
What are the most commonly searched types of Tesla Machine Learning Engineer jobs? The most popular types of Tesla Machine Learning Engineer jobs are:
What states have the most Full Time Tesla Machine Learning Engineer jobs? States with the most job openings for Full Time Tesla Machine Learning Engineer jobs include:
What job categories do people searching Full Time Tesla Machine Learning Engineer jobs look for? The top searched job categories for Full Time Tesla Machine Learning Engineer jobs are:
- On Call Machine Learning Ops Engineer
- Full Time No Experience Machine Learning
- Graduate Machine Learning Engineer
- Director Google Machine Learning Engineer
- Machine Learning Operations Engineer
- Machine Learning Engineer Hybrid
- Freelance Google Machine Learning Engineer
- Machine Learning Engineer Software Engineer
- Entry Level Amazon Opt
- Weekend Machine Learning
Tesla rating
8.5
Based on 675 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Job Summary:
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply chain processes, including forecasting and optimization algorithms.
Responsibilities:
• Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
• Perform model validation and performance monitoring to ensure models maintain high accuracy
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Qualifications:
Required:
• Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
• Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
• Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
• Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply chain processes, including forecasting and optimization algorithms.
Responsibilities:
• Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
• Perform model validation and performance monitoring to ensure models maintain high accuracy
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Qualifications:
Required:
• Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
• Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
• Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
• Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.