Research Engineer, Vision

techire ai; San Francisco (CA); On-site; USD 190,000 - 320,000; Full time

Benefits offered by this job

401(k) matching

100% employer-paid health insurance

Unlimited PTO

Medical FSA matching

Job summary

A technology solutions firm in San Francisco seeks a Research Engineer focusing on Computer Vision and Machine Learning. You will develop ML models that enhance spatial understanding, design architectures, and push the boundaries of traditional methodologies. A Bachelor's in computer science is required, with a Master's or PhD being a plus. Compensation ranges from $190,000 to $320,000, alongside robust benefits like health insurance and unlimited PTO. The position demands collaboration and independent problem-solving skills.

Qualifications

• End-to-end experience building computer vision and ML models.
• Strong familiarity with modern research in 3D or geometry-aware vision.
• Experience deploying ML systems into real products.

Responsibilities

• Developing ML models across 3D perception, tracking, and spatial understanding.
• Designing model architectures and training pipelines.
• Translating research into robust, production-ready systems.

Skills

3D perception

Tracking

Spatial understanding

PyTorch

JAX

Clear communication

Education

Bachelor’s degree in computer science or related field

Master’s or PhD

Job description

Research Engineer – Computer Vision & Machine Learning

Want to build vision systems that let machines understand the physical world as naturally as we do?

This role sits within a highly technical team developing a new class of computing devices where perception, language, and interaction are tightly integrated. Vision is a core capability. Your work will directly influence how machines see, reason about space, and collaborate with humans in real‑world environments.

You’ll join a specialist vision group working across 3D computer vision and machine learning. The problems sit at the boundary between learned models and physical reality, including gaze tracking, SLAM, multi‑camera geometry, and systems that explicitly model optics, refraction, and light transport. The focus is on geometry‑aware, physically grounded approaches rather than purely pixel‑driven modelling.

This is a hands‑on research engineering role. You’ll move between reading papers, building and training models, designing datasets, running controlled experiments, and deploying onto real hardware. You’ll work closely with firmware and hardware teams to ensure models operate reliably on‑device.

Your work will include:

• Developing ML models across 3D perception, tracking, and spatial understanding
• Designing model architectures, training pipelines, evaluation frameworks, and inference systems
• Working with large‑scale, multi‑camera and sensor‑rich datasets
• Translating state‑of‑the‑art research into robust, production‑ready systems
• Creating new approaches when existing methods do not meet performance or physical constraints

You’ll have genuine technical ownership. The team values clear thinking, strong experimental discipline, and the ability to make informed bets on promising ideas.

You’ll likely bring end‑to‑end experience building computer vision and ML models, alongside strong familiarity with modern research in 3D or geometry‑aware vision. Hands‑on experience with PyTorch or JAX is expected, as is comfort working with complex datasets. The ability to operate independently in ambiguous environments is important, as is clear communication across research, hardware, and product teams.

A Bachelor’s degree or higher in computer science, machine learning, computer vision, applied mathematics, or a related field is required. A Master’s or PhD is a plus, particularly if you’ve worked on geometry‑aware or physically informed modelling approaches. Experience deploying ML systems into real products or working in high‑ownership startup environments would be valuable.

Compensation: $190,000 - $320,000 base (depending on experience) + equity
Benefits: 401(k) matching, 100% employer‑paid health, vision, and dental insurance, unlimited PTO and sick time, medical FSA matching
Location: San Francisco, on‑site collaboration required

If you’re motivated by building geometry‑aware vision systems that connect AI to the physical world in meaningful ways, we’d like to hear from you!

All applicants will receive a response.