Member of Technical Staff - Multi-Modal, Vision

The Opportunity

The VLM team builds vision-language models that run on-device, under tight latency and memory constraints, without sacrificing quality. We have released four best-in-class models and we're just getting started. This team owns the full VLM pipeline end-to-end: from researching new architectures and training algorithms through data curation, evaluation, and deployment.

Minimal Qualifications

• Hands-on experience in training or evaluating VLMs with demonstrated experimental rigor.
• Ability to turn research ideas into scalable implementations, refine and iterate through hypotheses.
• Proficiency in Python and at least one deep learning framework.
• M.S. or Ph.D. in Computer Science, Mathematics, or a related field; or equivalent industry experience.

What Working Here Might Look Like

Lead a new model capability end-to-end from task spec through data curation, training recipe, ablations, evaluation, and into the final shipped model.

Improve visual reasoning through reinforcement learning and preference optimization methods.

Push the quality-efficiency frontier on token efficiency via encoder/connector design.

What Success Looks Like (Year One)

• The VLM models we ship are state-of-the-art.
• You own a major work-stream (for instance, video understanding, preference data quality, or encoder architecture) end-to-end.
• At least one model has shipped to production with your direct contribution.

We Offer

• Full ownership: You own your work from architecture to deployment.
• Compensation: Competitive base salary with equity in a unicorn-stage company.
• Health: We pay 100% of medical, dental, and vision premiums for employees and dependents.
• Financial: 401(k) matching up to 4% of base pay.
• Time Off: Unlimited PTO plus company-wide Refill Days throughout the year.