Research Engineer, Motion Planning
Redwood City, CA or Remote, US
We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks without the need for human annotation or simulation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.
Our team is made up of people with a diverse set of experiences in software and academia. We work together towards one common goal: to integrate the software you'll help us build into hundreds of millions of vehicles.
You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We're looking for talented engineers who'd enjoy applying their skills to deeply complex and novel AI problems. Here, you will:
- Apply and extend the Helm proprietary algorithmic toolkit for unsupervised learning and perception problems at scale
- Develop our planner behavior and trajectories in collaboration with software and autonomous vehicle engineers to deploy algorithms on internal and customer vehicle platforms
- Carefully execute development and maintenance of tools used for deep learning experiments designed to provide new functionality for customers or address relevant corner cases in the system as a whole
You have:
- 5+ years of experience in a related field
- Experience working with neural networks, PyTorch and/or Tensorflow
- Experience in one (or more) of:
- Path planning
- Generative simulation
- Intent prediction
- Fluency in Python and working knowledge of C++ programing
- A strong interest in unsupervised learning, computer vision, and/or the autonomous vehicle industry
- Master’s or Ph.D. in a related field
The pay range for this position is estimated to fall in the base range of approximately $150,000 and $250,000. Base compensation for this position will vary based on location, qualifications, and relevant experience. The offered base salary may be above or below this range and compensation for the position may include additional compensation in the form of equity or a bonus/commission.
We offer:
- Competitive health insurance options
- 401K plan management
- Remote-friendly and flexible team culture
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: …
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401(k) Plan Company retreats Competitive health insurance Free lunch Monthly wellness stipend Office set up allowance Office setup allowance Remote-friendly culture Wellness stipend
Tasks- Deploy algorithms
AI software Autonomous driving Autonomous vehicles C++ Computer Vision Neural Networks Path planning Python PyTorch TensorFlow Unsupervised Learning
Experience5 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9