about 5 hours ago
Base Salary
$170k - $200k/yr
Responsibilities
- Design, build, and maintain the data labeling and enrichment pipeline.
- Identify and implement continuous improvements to the data pipeline.
- Develop methodologies to measure the quality and performance of datasets and ML models.
- Stay updated on academic research and industry best practices in robotics learning.
- Collaborate with robotics leadership, data ops, QA, and engineering teams.
Requirements
- 4+ years of professional software engineering experience.
- Master’s or PhD in an AI or ML-related field.
- 1+ years of experience building ML or CV models for robotics or autonomous vehicles.
- Expertise in distributed systems and cloud computing on AWS.
- Experience in identifying and translating academic techniques into production systems.
Benefits
- Base salary range of $170,000 - $200,000.
- Eligible for equity in the form of stock options.
- Variety of medical, dental, and vision plans with coverage starting on hire date.
- Flexible paid time off and at least 8 paid company holidays annually.
- Phone and commuter stipends.
- 401K plan and employee health savings accounts contribution.