Research Scientist, ISEE
Prediction
Autonomous driving solutions
Job no longer available
Autonomous driving solutions
21-100 employees
Job no longer available
21-100 employees
Company mission
To create a future where autonomous machines can thrive alongside humans, seamlessly and safely integrating into any environment.
Role
Who you are
- The ideal candidate has 5+ years of relevant experience in behavior or trajectory prediction, computer vision, motion planning, machine learning, or related areas
- Advanced degree in Computer Science, Robotics, or related field
- Strong knowledge and experience in: pedestrian or vehicle behavior/trajectory prediction, intent prediction, generative modeling, sequence modeling, computer vision, machine learning, robotics
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Jax
- Strong C++ and/or Python skills
Desirable
- Experience collaborating cross-functionally with perception and planning teams
- Passionate about self-driving vehicles and real-world robotic solutions
- Strong presentation and communication skills
- Publication record in top-tier robotics, machine learning, or computer vision conferences
- At least 3+ years industrial experience in developing Computer Vision/Deep learning algorithms in real-world scenarios
- Robotics/autonomous experience is a plus
What the job involves
- Architect and build pipelines for training and evaluating models on real driving data
- Develop and evaluate behavior/trajectory/intent prediction models
- Optimize prediction performance for real-time processing
- Collaborate with and mentor junior engineers
- Engage in cross-functional collaborations with perception and motion planning teams
Our take
Autonomous vehicles are big business at the moment, with companies such as Tesla, Google owned Waymo and Argo all vying to create the technologies that will transform the way we travel. ISEE finds its place in this thriving sector by specialising in autonomous trucks and using AI and deep learning technologies to create self-driving trucks that can learn and use the machine equivalent of common sense.
Speed, efficiency and safety are essential within the logistics and shipping industry. Rather than trying to program a reaction to an infinite number of possible events, Isee is creating trucks that will learn and react autonomously, designing a computer system that drives like a human.
Following very strong revenue growth in 2022, ISEE has closed a Series B funding round which is being used to hire additional talent and further the development of its self-driving yard trucks. As the first, and only, company to achieve fully-autonomous operations there's certainly an exciting future ahead for ISEE.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (2 rounds)
Nov 2022
$40m
SERIES B
Nov 2019
$15m
SERIES A
Total funding: $55m
Company benefits
- Healthcare and Basics
- Work/Life Balance and PTO
- Supportive Team
- Professional Growth
- Flexible Work Environment
- Forum for Open Discussions
Company HQ
Central Square, Cambridge, MA
Leadership
Yibiao Zhao
(CEO)Yibiao completed their PhD at UCLA studying computer vision and his Postdoc at MIT studying cognitive robots. They are a pioneer of engineering common sense for visual understanding and cognitive robots.
Debbie Yu
(Board Member)Prior to Isee, Debbie co-founded environmental data solutions company, Spatial Intelligence. Their experience is in investment having been an Angel investor and advisor prior.
Chris Baker
(Chief Scientist)Chris completed their PhD at MIT in cognitive science, going on to complete their Postdoc and following research within the department.
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