Liquid AI

Member of Technical Staff – Multi-Modal, Vision

Liquid AI

full-time

Posted on:

Location Type: Hybrid

Location: San Francisco • California • United States

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Job Level

Lead

Tech Stack

Python

About the role

  • The VLM team builds vision-language models that run on-device, under tight latency and memory constraints, without sacrificing quality.
  • Join a focused, hands-on group that works directly on models and collaborates closely with our pretraining, post-training, and infrastructure teams.
  • 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.

Requirements

  • 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.
  • Building or optimizing multimodal training or data pipelines.
  • Experience with distributed training (DeepSpeed, FSDP, Megatron-LM, etc.).
  • Multimodal post-training experience (SFT, preference optimization, RL-style methods).
  • Dataset design and data quality expertise (quality and diversity assessment, long-tail mining).
  • Prior open-source contributions (code, data, models) on GitHub or Hugging Face.
  • Published research at top AI conferences (NeurIPS, ICML, CVPR, ECCV, ICLR, ACL, etc.).
  • Experience with computer vision or visual representation learning.
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondeep learning frameworktraining VLMsreinforcement learningpreference optimizationmultimodal trainingdistributed trainingdataset designdata quality assessmentopen-source contributions
Soft Skills
experimental rigorscalable implementationsrefine and iteratecollaborationleadership
Certifications
M.S. in Computer SciencePh.D. in Computer ScienceM.S. in MathematicsPh.D. in Mathematics