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Research Scientist - Machine Learning

Role overview

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

Responsibilities

  • 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 results

About the company

ISEE logo

ISEE

Autonomous Vehicles & Self-Driving Tech

ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.

Company details

Company typeScaleup
IndustryAutonomous Vehicles & Self-Driving Tech
Company size51 - 200

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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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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