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Machine Learning For Materials Research Scientist Jobs

ISEE

Research Scientist - Machine Learning

... for autonomous systems - Conducting research in the areas of: Robotics, Artificial Intelligence ... materials based on available information. These tools assist our recruitment team but do not ...

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Lead activities in generative AI and physics-informed machine learning for product, formulation ... research results and develop new techniques Requirements * PhD or equivalent experience in ...

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$50.5K

$130.1K

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How much do machine learning for materials research scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning for materials research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Machine Learning For Materials Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist - Machine Learning

Remote

ISEE
Trucking • 51 - 200 employees
Learn more about ISEEexternal

Full-time

Re-posted 12 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.
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