Humble Robotics

ML Software Engineer

San Francisco Full-time On-site
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Job Description

About us We’re building the next generation of ground transportation with advanced physical AI to simplify the toughest challenges in modern freight. Our stealth team, founded by the engineers who scaled autonomous driving, is developing an entirely new vehicle platform. We move fast, stay tightly aligned between engineering and product, and focus on creating reliable, real-world autonomous systems.

Frequently Asked Questions

What does the ML Software Engineer role at Humble Robotics involve?

The ML Software Engineer position at Humble Robotics in San Francisco is a full-time role. About us We’re building the next generation of ground transportation with advanced physical AI to simplify the toughest challenges in modern freight. Our stealth team, founded by the engineers who scaled autonomous driving, is developing an entirely new vehicle platform. We move fast, stay tightly aligned between engineering and product, and focus on creating reliable, real-world autonomous systems.

What skills are required for ML Software Engineer at Humble Robotics?

Please refer to the full job description for required skills and qualifications.

What is the salary for ML Software Engineer at Humble Robotics?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the ML Software Engineer position at Humble Robotics remote or on-site?

This position is On-site. The role is based in San Francisco.

How do I apply for ML Software Engineer at Humble Robotics?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

ML Software Engineer at Humble Robotics is a full-time ai & machine learning position in San Francisco. Experience: 3+ years.

This role is classified as on-site and is suitable for mid level-level professionals. Ghost Score 20/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.