Machine Learning Solutions Engineer (Robotics)

TL;DR

Machine Learning Solutions Engineer (Robotics): Designing and delivering technical solutions and PoCs for foundation model builders and robotics companies with an accent on multi-modal data pipelines and real-world deployment. Focus on bridging the gap between demos and production by defining technical requirements for data collection, curation, and model evaluation.

Location: San Francisco, CA (Regular travel within the Bay Area and international travel required)

Salary: $180,000 - $225,000 USD

Company

Scale AI develops reliable AI systems and high-quality data platforms that power the world's leading models for enterprises and governments.

What you will do

• Partner with Account Executives and Engagement Managers to deliver customer pilots and grow technical relationships.
• Collaborate with Product Engineering and Product Management to influence the product roadmap and develop PoCs.
• Serve as a domain expert in physical AI, including VLMs, VLAs, and World Models.
• Apply expertise in 2D/3D imaging, multi-sensor fusion, calibration, and GPS/INS navigation systems.
• Design playbooks and demos to ensure efficient and successful customer expansions.
• Pioneer the development of a global Robotics Data Marketplace.

Requirements

• PhD in Robotics or an M.S. in Robotics with a strong track record of deploying VLAs to production.
• 3+ years of experience developing with Python, C++, Java, or other scripting languages.
• Strong project management, interpersonal skills, and a high degree of autonomy.
• Ability to speak confidently with stakeholders ranging from executives to front-line engineers.
• Required regular travel within the Bay Area and international travel approximately once every three months.

Nice to have

• Prior experience in sales, solutions engineering, or partnerships with a track record of achieving quota.
• Experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Equity compensation grants.
• Retirement benefits and a learning and development stipend.
• Generous PTO and a commuter stipend.