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Mechanical Engineer Artificial Intelligence Jobs

... mechanisms, we developed patented, quantum-resistant Data Camouflage™ technology for data in ... We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ...

Position Overview GTI is seeking a Mechanical Engineer to support the design and development of ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

New

Mechanical Engineer

Warner Robins, GA · On-site

$61K - $141K/yr

Mechanical Engineer The Opportunity: Booz Allen is offering this role to an innovative Mechanical ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Description We are looking for a Mechanical Engineer to join our clients laboratory technology team ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Now Hiring: Mechanical Engineer The Product Design Engineer is responsible for executing the ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Mechanical Engineer We are seeking a skilled Mechanical Engineer to join a dedicated mechanical ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Description We are looking for a Mechanical Engineer to help with the sustainment of the machines ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Description We are looking for a Mechanical Engineer to help with the sustainment of the machines ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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Mechanical Engineer Artificial Intelligence information

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$45.5K

$102.9K

$166.5K

How much do mechanical engineer artificial intelligence jobs pay per year?

As of Jul 17, 2026, the average yearly pay for mechanical engineer artificial intelligence in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, machine learning directors, or AI research executives, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms, with compensation including salary, bonuses, and stock options.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large corporations or high-demand industries.

What are the key skills and qualifications needed to thrive as a Mechanical Engineer specializing in Artificial Intelligence, and why are they important?

To thrive as a Mechanical Engineer in Artificial Intelligence, a strong background in mechanical engineering principles, mathematics, and computer science—often supported by a relevant degree—is essential. Familiarity with CAD software, machine learning frameworks (such as TensorFlow or PyTorch), and programming languages like Python or MATLAB is typically required. Strong problem-solving abilities, creativity, and effective communication skills help professionals excel in interdisciplinary teams and innovative projects. These combined skills enable the design of intelligent mechanical systems that optimize efficiency and performance in advanced engineering environments.

What is a Mechanical Engineer in Artificial Intelligence?

A Mechanical Engineer in Artificial Intelligence applies AI technologies and machine learning algorithms to mechanical engineering problems. They work on integrating AI into the design, development, and maintenance of mechanical systems, such as robotics, smart manufacturing, or predictive maintenance. Their role often involves collaborating with data scientists, software engineers, and other professionals to create intelligent systems that can optimize processes, reduce costs, and improve efficiency. This interdisciplinary field is rapidly growing as AI continues to transform traditional engineering practices.

Can mechanical engineers work in AI?

Mechanical engineers can work in AI by applying their skills in robotics, automation, and control systems, often collaborating with data scientists and software engineers. Knowledge of programming languages like Python and experience with machine learning tools can enhance their ability to contribute to AI projects. Transitioning into AI roles may require additional training in data analysis, algorithms, and AI frameworks.

How do Mechanical Engineers specializing in Artificial Intelligence typically collaborate with software engineers and data scientists on projects?

Mechanical Engineers working in Artificial Intelligence often collaborate closely with software engineers and data scientists to integrate AI algorithms into mechanical systems, such as robotics or smart manufacturing equipment. They contribute their expertise in physical systems, prototyping, and hardware-software integration, while software engineers focus on coding and data scientists develop and refine AI models. Regular interdisciplinary meetings and joint problem-solving sessions are common, ensuring that the mechanical, software, and AI components work seamlessly together to achieve project goals.

Can you make $200,000 a year as a mechanical engineer?

Earning $200,000 annually as a mechanical engineer is possible but typically requires extensive experience, advanced skills, specialization in high-demand areas such as aerospace or robotics, and often working in senior or managerial roles. Salaries vary by industry, location, and company size, with top earners often holding advanced degrees and certifications.

What is the difference between Mechanical Engineer Artificial Intelligence vs Mechanical Engineer?

AspectMechanical Engineer Artificial IntelligenceMechanical Engineer
Required CredentialsBachelor's in Mechanical Engineering, plus knowledge of AI and programmingBachelor's in Mechanical Engineering
Work EnvironmentDesigning AI-driven systems, software development, research labsDesign, analysis, manufacturing in industrial or R&D settings
Industry UsageAI integration in robotics, automation, smart systemsProduct design, manufacturing, mechanical systems
Common Search IntentMechanical Engineer Artificial Intelligence vs Mechanical EngineerMechanical Engineer roles and responsibilities

Mechanical Engineer Artificial Intelligence combines traditional mechanical engineering skills with expertise in AI and programming, focusing on intelligent systems and automation. In contrast, Mechanical Engineers primarily work on designing and analyzing mechanical systems without necessarily involving AI. Both roles share foundational engineering principles but differ in their focus areas and skill requirements.

More about Mechanical Engineer Artificial Intelligence jobs
What cities are hiring for Mechanical Engineer Artificial Intelligence jobs? Cities with the most Mechanical Engineer Artificial Intelligence job openings:
What states have the most Mechanical Engineer Artificial Intelligence jobs? States with the most job openings for Mechanical Engineer Artificial Intelligence jobs include:
What job categories do people searching Mechanical Engineer Artificial Intelligence jobs look for? The top searched job categories for Mechanical Engineer Artificial Intelligence jobs are:
Infographic showing various Mechanical Engineer Artificial Intelligence job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 92% Full Time, 4% Part Time, and 2% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

Company Description
Job Description
Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home
As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production. You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale. This is a hands-on, high-impact role focused on depth. This position is 100% Remote.
Senior Machine Learning Engineer Responsibilities:
- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.
- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into working systems that run reliably in production.
- Debug model failures and system issues using real production signals.
- Iterate quickly: ship, measure outcomes, refine, and repeat.
- Collaborate closely with research, product, and engineering to deliver real user impact.
- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.
- Work under real production constraints: latency, cost, reliability, and safety
Senior Machine Learning Engineer Outcomes:
- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
- Complex production issues are monitored, debugged, and resolved with minimal disruption.
- Training, inference, and data pipelines are robust, scalable, and maintainable over time.
- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback.
- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.
- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals.
Qualifications
Senior Machine Learning Engineer Qualifications:
- Experience building and shipping Machine Learning (ML) systems used by real users.
- Artificial Intelligence (AI) experience required.
- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.
- Experience writing strong, production-quality code and think in systems, not scripts.
- Experience taking ownership, work independently, and push work across the finish line.
- You learn fast, communicate clearly, and improve through iteration.
- Tech Stack: GPU-based training and inference systems, JAX, Python, and PyTorch.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Senior Machine Learning Engineer, AI, Artificial Intelligence, Engineering, GPU, JAX, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an Senior Machine Learning Engineer in San Francisco, CA or in other cities? Our IT recruiting agencies and staffing companies can help.
We help companies that are looking to hire Senior Machine Learning Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Additional Information
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