Head of Computer Vision & AI Systems

End Waste; San Francisco (CA); Hybrid; USD 196,000 - 220,000; Full time

Job summary

Glacier, a San Francisco-based startup tackling the trash crisis, is seeking a Director of Computer Vision to lead the CV organization. You will own the vision and execution of the CV roadmap, guide an international engineering team, and collaborate with Product Management, Software, Operations, Manufacturing, and Field Engineering to scale our technology.

This is a technical leadership role where you won't primarily code, but you will dive into deep CV problems, set priorities, mentor

Qualifications

• 2+ years of engineering management experience.
• Experience training and deploying computer vision models.
• Strong understanding of model optimization, dataset quality, compute, evaluation, and production performance.
• Intermediate Python and SQL proficiency.
• Experience building technical roadmaps and coordinating complex, cross-functional projects.

Responsibilities

• Own the vision, strategy, and execution of Glacier's computer vision roadmap.
• Lead, mentor, and develop the distributed CV engineering team, including hiring and retention.
• Set project and task priorities and keep engineers unblocked.
• Break complex challenges into clear plans and coordinate across multiple engineers and workstreams.
• Provide technical guidance on models, datasets, compute, evaluation, and production performance.
• Establish lightweight processes that improve execution and collaboration.
• Partner with Software, Operations, Manufacturing, and Field Engineering to resolve dependencies.
• Oversee labeling function, including resourcing, budget, and quality.

Skills

Engineering management

Computer Vision

Python

SQL

Roadmap planning

Job description

Glacier, a San Francisco-based startup tackling the trash crisis, is seeking a Director of Computer Vision to lead the CV organization. You will own the vision and execution of the CV roadmap, guide an international engineering team, and collaborate with Product Management, Software, Operations, Manufacturing, and Field Engineering to scale our technology.

This is a technical leadership role where you won't primarily code, but you will dive into deep CV problems, set priorities, mentor