Helm.ai builds AI software for autonomous driving and robotics, aiming to make autonomous technologies more efficient, safer, and accessible. The company's Deep Teaching™ methodology is data and capital efficient, enabling unsupervised learning without human annotation or simulation.
Requirements
- Proficiency in Python
- Experience reading research papers and implementing the techniques therein
- Computer vision and deep learning experience
Responsibilities
- Characterize neural network quality, failure modes, and edge cases based on research data
- Maintain awareness of current trends in relevant areas of research and technology
- Coordinate with researchers and accurately convey status of experiments
- Manage a large number of concurrent experiments and make accurate time estimates with respect to deadlines
- Review experimental results and suggest theoretical or process improvements for future iterations
- Write technical reports indicating qualitative and quantitative results to external parties
Other
- A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
- Proven ability to thrive in fast-paced environment
- Ability to communicate complex technical concepts to colleagues and a variety of audience
- Introspection, thoughtfulness, and detail-orientation
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
