Machine Learning Engineer

Helm.ai

157d • $150,000 - $250,000

About The Position

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.

Requirements

• A sense of practical optimism: not all experiments are successful, but the ones that are more than make up for it!
• Proficiency in Python
• 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

Nice To Haves

• Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field
• 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

Benefits

• Competitive health insurance options
• 401K plan management
• Free lunch and fully-stocked kitchen in our South Bay office
• Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
• The opportunity to work on one of the most interesting, impactful problems of the decade

What This Job Offers

• Number of Employees: 51-100 employees