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
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 ...
Machine Learning Engineer
Houston, TX · 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
Houston, TX · 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 ...
... American energy supplies. Using reliable, proven technology in an innovative plant design ... The Machine Learning Engineer will design, develop, and maintain the productionization of machine ...
... American energy supplies. Using reliable, proven technology in an innovative plant design ... The Machine Learning Engineer will design, develop, and maintain the productionization of machine ...
Our solutions allow financial institutions to focus more of their time and energy on serving their customers and communities. As a Machine Learning Engineer, you will help build and operate ...
Our solutions allow financial institutions to focus more of their time and energy on serving their customers and communities. As a Machine Learning Engineer, you will help build and operate ...
Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...
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 ...
Machine Learning Engineer
Sunnyvale, CA · Remote
$70 - $80/hr
Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...
Quick apply
Machine Learning Engineer
Sunnyvale, CA · Remote
$70 - $80/hr
Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...
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
$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 ...
Quick apply
Senior Machine Learning Engineer
$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 ...
Role Machine learning engineer [4 to 6 years exp] Description We are looking for Machine Learning Engineer with strong knowledge in designing and developing machine learning systems, implementing ...
Role Machine learning engineer [4 to 6 years exp] Description We are looking for Machine Learning Engineer with strong knowledge in designing and developing machine learning systems, implementing ...
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join ...
Sr. Machine Learning Engineer, Energy, Service
Palo Alto, CA · On-site
$123K - $168K/yr
Tesla's Energy Intelligence team is seeking a hands-on Sr. Machine Learning Engineer to architect ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Sr. Machine Learning Engineer, Energy, Service
Palo Alto, CA · On-site
$123K - $168K/yr
Tesla's Energy Intelligence team is seeking a hands-on Sr. Machine Learning Engineer to architect ... renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a ...
Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently ... We innovate in the next generation electric vehicle and energy storage technologies (lithium ...
Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently ... We innovate in the next generation electric vehicle and energy storage technologies (lithium ...
Senior Machine Learning Engineer
$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
$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
Schaumburg, IL · On-site
Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...
Quick apply
Machine Learning Engineer
Schaumburg, IL · On-site
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
Fremont, CA · On-site
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 ...
Machine Learning Engineer
Fremont, CA · On-site
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 ...
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 ...
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 Jun 21, 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.
Which 5 jobs will survive AI?
Renewable Energy Machine Learning Engineers are likely to continue in demand as their role involves developing and maintaining complex models that require specialized technical skills and domain knowledge. Jobs that involve critical thinking, creativity, and complex problem-solving, such as data scientists, software developers, healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often require human judgment and adaptability that AI cannot fully replicate.
What engineers make $500,000?
Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain aerospace roles can earn $500,000 or more annually, especially with experience, advanced skills, and leadership responsibilities. In the renewable energy sector, senior roles like Lead Machine Learning Engineers or Energy Systems Directors may reach high compensation levels, often supplemented by bonuses and stock options.
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.
Will AI replace renewable energy jobs?
Renewable energy machine learning engineers use AI to optimize energy systems and improve efficiency. While AI automates certain tasks, it is more likely to augment these roles by handling data analysis and predictive modeling, creating new opportunities rather than replacing the entire job. Skills in data science, programming, and understanding energy systems remain essential for these roles.
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.
How can AI be used in renewable energy?
A Renewable Energy Machine Learning Engineer applies AI techniques to optimize energy production, forecast renewable resource availability, and improve grid management. AI models analyze data from sensors and weather patterns to enhance efficiency and reliability of renewable energy systems such as wind and solar farms. Skills in data analysis, programming, and familiarity with renewable energy technologies are essential for this role.
Full-time
Posted 3 days ago
Tesla rating
8.5
Based on 663 frontline employees who took The Breakroom Quiz
1st of 44 rated automakers
Job description
Job Summary:
Tesla is seeking a Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla’s generative AI platform. The role involves leveraging machine learning models and deep learning techniques to solve complex problems, collaborating with cross-functional teams, and translating research concepts into scalable data products.
Responsibilities:
• Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
• Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
• Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
• Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
• Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
• Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
• Convert complex business requirements and research findings into actionable insights and data-driven solutions
Qualifications:
Required:
• Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
• Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
• Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
• Expertise in working with and optimizing large datasets, data pipelines, and AI models
• Experience building robust, reliable solutions that minimize downtime and maximize user impact
• A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions
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 Staff Machine Learning Engineer for its Bottle Rocket team to develop innovative, data-driven solutions on Tesla’s generative AI platform. The role involves leveraging machine learning models and deep learning techniques to solve complex problems, collaborating with cross-functional teams, and translating research concepts into scalable data products.
Responsibilities:
• Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
• Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
• Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
• Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
• Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
• Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
• Convert complex business requirements and research findings into actionable insights and data-driven solutions
Qualifications:
Required:
• Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
• Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
• Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
• Expertise in working with and optimizing large datasets, data pipelines, and AI models
• Experience building robust, reliable solutions that minimize downtime and maximize user impact
• A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions
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.