Machine Learning Engineer

Responsibilities

• Characterize neural network quality, failure modes, and edge cases using research data.
• Coordinate with researchers and accurately communicate experiment status.
• Manage concurrent experiments and estimate timelines against deadlines.
• Review experimental results and suggest theoretical or process improvements.
• Write technical reports describing qualitative and quantitative results for external parties.
• Stay current with relevant research and technology trends.

Requirements

• Proficiency in Python.
• Ability to thrive in a fast-paced environment.
• Ability to communicate complex technical concepts to colleagues and varied audiences.
• Introspection, thoughtfulness, detail orientation, and practical optimism.
• Preferred: a related Master’s or Ph.D. and/or 5+ years of directly related experience.
• Preferred: experience reading research papers and implementing their techniques.
• Preferred: computer vision and deep learning experience.

Benefits

• Competitive health insurance options.
• 401(k) plan management.
• Free lunch and a fully stocked kitchen at the South Bay office.
• Monthly wellness stipend, office setup allowance, company retreats, and additional perks.
• Opportunity to work on an impactful technical problem.