ML Infrastructure Engineer

Compound Eye; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A tech-focused company is seeking an engineer to join its remote US team. The role involves designing ML training pipelines, building verification tools, and training advanced networks for 3D scene understanding. A commitment to collaboration and innovation is essential. The company offers a supportive remote work environment with a culture of transparency and accountability.

Benefits

Supportive remote work environment

Options for office work

Responsibilities

• Design and implement production-quality ML training pipelines and infrastructure.
• Build visualization and verification tools for screening data.
• Train and analyze state-of-the-art networks for various tasks related to 3D scene understanding.
• Help to recruit and onboard similarly-qualified engineers.

Job description

We're looking for a great engineer to join our US team of sixteen. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so.

Responsibilities for this role:

• Design and implement production-quality ML training pipelines and infrastructure
• Build visualization and verification tools for screening data
• Train and analyze state-of-the-art networks for semantic segmentation, object detection, depth estimation, SLAM, and other tasks related to 3D scene understanding
• Help to recruit and onboard similarly-qualified engineers