ISEE
Research Scientist - Machine Learning
Full Time · Remote · USA
Posted Oct 27, 2026
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.
Originally posted on Himalayas
Mention you found this on Data First Jobs — it helps us bring you more roles like this.
Research Scientist - Machine Learning
ISEE
Similar Data Science Jobs
View all Data Science jobs→MAES Solutions
Data Scientist (Only H4 EAD, L2S, GC & USC)
New
New Jersey (USA)$100,000 - $120,000
Yochana
Data Scientist
New
USA
Veracyte
Sr. Bioinformatics Scientist
New
RemoteUSA$150,000 - $189,000
Veracyte
Senior Bioinformatics Scientist
New
RemoteUSA$150,000 - $189,000
RTI International
Associate Director, Implementation Scientist
New
RemoteUSA$100,000 - $135,000
Wayve
Data Scientist, Robotaxi Performance & Capability
New
Location not specified
Like this role? Get carefully selected jobs like it, twice a week, straight to your inbox.
Free, no spam. Unsubscribe anytime.