Member of Technical Staff - Multi-Modal, Vision

Liquid AI
San Francisco
Workplace: RemoteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Communication","Problem-solving","Teamwork"]

Join the VLM team to own end-to-end development of vision-language models that run on-device, balancing latency/memory constraints with model quality. You’ll drive data curation, training recipes, ablations, and evaluation, collaborating with pretraining/post-training and infrastructure teams to ship state-of-the-art models. Opportunities include leading a major work-stream and pushing token-efficient encoders.

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FursaFursa
Liquid AI
Liquid AI
10 months ago

Member of Technical Staff - Multi-Modal, Vision

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join the VLM team to own end-to-end development of vision-language models that run on-device, balancing latency/memory constraints with model quality. You’ll drive data curation, training recipes, ablations, and evaluation, collaborating with pretraining/post-training and infrastructure teams to ship state-of-the-art models. Opportunities include leading a major work-stream and pushing token-efficient encoders.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead a new model capability end-to-end from task spec through data curation, training recipe, ablations, evaluation, and into the final shipped model.
  • •Collaborate with pretraining, post-training, and infrastructure teams to deliver integrated model capabilities.
  • •Improve visual reasoning through reinforcement learning and preference optimization methods.
  • •Push the quality-efficiency frontier on token efficiency via encoder/connector design.
  • •Own a major work-stream in year one and ensure a model ships to production with direct contribution.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kEquityPaid Leave

Key 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.
Experience:Artificial intelligenceMultimodal
Education:Master's in Computer Science
Skills:CommunicationProblem-solvingTeamwork
Tech Stack:PythonDeep LearningDeepSpeedFSDPMegatron-LMPyTorch

Company Brief

Liquid AI
Builds AI infrastructure and tooling to enable real-time, distributed machine learning and orchestration across edge and cloud environments, simplifying deployment and management of intelligent applications.
Industry: AI & Machine Learning
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