Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Job Summary : Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Job Summary : Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Machine Learning Engineer (SmartBidder)
Boulder, CO · On-site
$100 - $160/hr
Machine Learning Engineer (SmartBidder), Boulder, CO (Hybrid or Remote) This position will be a key ... management of energy storage and renewable assets. You will be part of a collaborative team ...
New
Machine Learning Engineer (SmartBidder)
Boulder, CO · On-site
$100 - $160/hr
Machine Learning Engineer (SmartBidder), Boulder, CO (Hybrid or Remote) This position will be a key ... management of energy storage and renewable assets. You will be part of a collaborative team ...
New
Tesla is a leading electric vehicle manufacturer, and they are seeking a Machine Learning Engineer ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Tesla is a leading electric vehicle manufacturer, and they are seeking a Machine Learning Engineer ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Machine Learning Engineer
Armonk, NY · On-site
Kforce has a client in Armonk, NY that is seeking a Lead Machine Learning Engineer to support a leading Energy and Utilities organization by designing and delivering scalable machine learning ...
Machine Learning Engineer
Armonk, NY · On-site
Kforce has a client in Armonk, NY that is seeking a Lead Machine Learning Engineer to support a leading Energy and Utilities organization by designing and delivering scalable machine learning ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to ...
Machine Learning Engineer
Ann Arbor, MI · On-site
Mariana Minerals is a software-first, vertically integrated minerals company focused on supplying critical minerals for modern energy and technology. They are seeking a Machine Learning Engineer to ...
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
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 ...
Sr. Machine Learning Engineer, Network Engineering
Fremont, CA · On-site
$114K - $156K/yr
Tesla is seeking a highly skilled Senior Machine Learning Engineer to lead the development of a ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Sr. Machine Learning Engineer, Network Engineering
Fremont, CA · On-site
$114K - $156K/yr
Tesla is seeking a highly skilled Senior Machine Learning Engineer to lead the development of a ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Machine Learning Engineer
Manhattan, NY · On-site
$90 - $130/hr
Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If ...
New
Machine Learning Engineer
Manhattan, NY · On-site
$90 - $130/hr
Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If ...
New
NY · On-site
$90 - $130/hr
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
New
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Senior Machine Learning Engineer
Houston, TX · On-site
$117K - $154K/yr
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow ... Being part of the energy transition through increased emphasis on renewable & alternative energy ...
Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
Machine Learning Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role We are seeking an innovative Machine Learning Engineer to design, develop, and deploy ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
... modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
... modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
As a Machine Learning Engineer, you will work with complex datasets, design and optimize models, and help bring intelligent solutions into production. You will collaborate with software engineers and ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
The Machine Learning Engineer will develop and optimize machine learning models to enhance healthcare operations and collaborate with cross-functional teams to integrate solutions into existing ...
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Renewable Energy 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 renewable energy machine learning engineer jobs pay per year?
As of Aug 8, 2026, the average yearly pay for renewable energy 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 does a renewable energy machine learning engineer do?
A Renewable Energy Machine Learning Engineer develops and applies machine learning algorithms to optimize renewable energy systems such as solar, wind, or hydroelectric power. Their work often involves analyzing large datasets from energy sources, predicting energy production, improving efficiency, and supporting smart grid management. These engineers collaborate with data scientists, energy analysts, and hardware engineers to create innovative solutions that advance the adoption and reliability of renewable energy technologies.
What are the key skills and qualifications needed to thrive as a renewable energy machine learning engineer, and why are they important?
A Renewable Energy Machine Learning Engineer needs a strong background in machine learning, data analysis, and renewable energy systems, typically supported by a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and energy sector datasets or simulation tools is essential. Strong problem-solving, communication, and teamwork skills help in translating data insights into actionable solutions and collaborating with multidisciplinary teams. These skills drive innovation and optimize energy production, making significant impacts on sustainability and efficiency in the renewable energy sector.
What is the difference between Renewable Energy Machine Learning Engineer vs Data Scientist in Renewable Energy?
| Aspect | Renewable Energy Machine Learning Engineer | Data Scientist in Renewable Energy |
|---|---|---|
| Credentials | Degree in Engineering, Computer Science, or related field; knowledge of ML frameworks | Degree in Data Science, Statistics, or related field; strong analytical skills |
| Work Environment | Develops ML models for renewable energy systems, often in engineering teams | Analyzes data to inform renewable energy projects, often in research or analytics teams |
| Industry Usage | Designs ML solutions for wind, solar, or hydro energy systems | Interprets data to optimize renewable energy production and efficiency |
The main difference is that Renewable Energy Machine Learning Engineers focus on developing and implementing ML models specifically for renewable energy systems, while Data Scientists analyze data to support decision-making in renewable energy projects. Both roles require strong technical skills, but the engineer's role is more focused on model deployment within energy systems.
How does a renewable energy machine learning engineer typically collaborate with cross-functional teams to implement data-driven solutions?
Renewable Energy Machine Learning Engineers work closely with data scientists, energy analysts, software developers, and project managers to design and deploy predictive models that optimize energy production and distribution. Collaboration often involves translating complex technical findings into actionable insights for non-technical stakeholders and integrating machine learning outputs into existing energy management systems. Effective communication and teamwork are essential, as engineers must ensure their models align with operational goals and regulatory requirements. This collaborative environment fosters innovation and allows engineers to see the direct impact of their work on sustainable energy initiatives.
Full-time
Re-posted 6 days ago
Tesla rating
8.5
Based on 681 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.