Machine Learning Engineer collaborating with researchers on neural network quality and applying standard techniques to technical problems. Maintaining awareness of current trends and managing concurrent experiments.
Responsibilities
Collaborate with researchers to perform research operations using existing infrastructure
Use judgment in complex scenarios and help apply standard techniques to a wide variety of technical problems
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
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
Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (a plus)
Experience reading research papers and implementing the techniques therein (a plus)
Computer vision and deep learning experience (a plus)
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
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