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Trainee Mechanical Engineering Machine Learning Jobs

... Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field - Passionate about self-driving vehicles and real-world robotics solutions. - Experience collecting ...

A blend of data engineering, machine learning, and product innovation skills that let you jump into a fast-paced environment and contribute on day one * Familiar with monitoring, deployment tools ...

D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline Publications in top journals or conferences Minimum Qualifications Strong Expertise in Machine Learning, Deep ...

D. in Computer Science, Machine Learning, Mechanical Engineering, or a similar discipline Publications in top journals or conferences Minimum Qualifications Strong Expertise in Machine Learning, Deep ...

Data Science & Machine Learning Engineer

$117K - $140K/yr

Required Skills & Responsibilities: * 5+ years of experience in Data Engineering, Machine Learning Engineering, or related fields. * Strong programming expertise in Python (Pandas, NumPy, PySpark ...

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How much do trainee mechanical engineering machine learning jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for trainee mechanical engineering machine learning in the United States is $33.20, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $37.50 per hour, depending on experience, location, and employer.
What cities are hiring for Trainee Mechanical Engineering Machine Learning jobs? Cities with the most Trainee Mechanical Engineering Machine Learning job openings:
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs? The most popular types of Mechanical Engineering Machine Learning jobs are:
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Research Scientist - Machine Learning

Research Scientist - Machine Learning

ISEE

Remote

Full-time

Posted 19 days ago


Job description

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience.
Role responsibilities include:
- Leading research contributing to the development of humanistic AI for autonomous systems
- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas
- Collaborating with engineering and business teams to develop novel solutions to real-world problems
- Designing experiments and metrics for benchmarking resultsPublishing research in top-tier conferences and journals
Qualifications:
- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field
- Passionate about self-driving vehicles and real-world robotics solutions.
- Experience collecting, processing, and analyzing real-world data.
- Strong presentation and communication skills.
Recommended
- Publication record in top-tier conferences in Robotics and related fields.
- Programming experience, ideally with Python and/or C++.
- Robotics experience is a plus.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.