5 months ago
Remote, United States +5 moreSenior
Base Salary
$170k - $220k/yr
Responsibilities
- Build an offline perception and auto-labelling system with multidisciplinary research scientists and engineers.
- Manage end-to-end orchestration of large-scale auto-labelling training, evaluation, and automation workflows.
- Architect and scale distributed pipelines to handle large-scale data and user requests.
- Collaborate with ML researchers and engineers to deploy new architectures into production.
- Analyze and profile complex ML workloads to optimize system performance.
Requirements
- Bachelor’s degree in Computer Science, Robotics, or a similar technical field.
- At least 3 years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools.
- Experience productionizing deep-learning models, particularly for large-scale online inference.
- Proficiency in Python and a record of writing high-quality, well-structured, well-tested production code.
- Collaborative and open-minded approach with a willingness to help others.
- Familiarity with 3D data, LiDAR/point clouds, and multimodal sensor-fusion perception models is preferred.
- Experience working with large Vision-Language Models is preferred.
Benefits
- US base salary range of $170,000–$220,000 per year, plus competitive perks and benefits.
- Competitive compensation and equity awards.
- Medical, dental, and vision coverage for full-time employees.
- Unlimited vacation.
- Flexible hours and work-from-home support.
- Daily drinks, snacks, and catered meals when in the office.
- Regular on-site, off-site, and virtual team-building activities and social events.
Tech Stack
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