Member of Technical Staff

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Member of Technical Staff in USA new

Liquid AI
Full time
Email

USA
11/12/2026
Report

Boston, MA

Responsibilities

Run multimodal training experiments end to end, including pre-training, post-training, evaluation, and release integration.
Contribute to research directions such as multimodal mixture-of-experts and token-efficient multimodal encoders.
Build and manage multimodal data pipelines, curation, and release-related data decisions.
Harden research-grade experiment code into maintainable team infrastructure.
Consolidate Omni’s training infrastructure, including distributed-training choices and a unified codebase and library.
Own inference and deployment for Omni models and collaborate across vision and audio teams.

Requirements

Hands-on experience training ML models in at least one non-text modality, especially vision or audio.
Foundational understanding of multimodal training based on prior hands-on work.
Ability to operate between research and engineering by running experiments and hardening supporting code.
Experience taking training infrastructure and inference from experimental code to maintained, production-ready systems.
Strong interest or experience in training infrastructure, inference, or rebuilding and consolidating training stacks.
Audio or speech modeling experience, on-device inference, multimodal mixture-of-experts or encoder token-efficiency research, and publications are helpful but not required.

Benefits

Competitive base salary plus equity.
Unlimited paid time off and company-wide Refill Days.
Comprehensive health coverage, with details varying by location.
Paid leave for pregnancy, parenting, medical needs, and family caregiving.
Full-time hybrid work in Boston.

Salary: Competitive

Liquid AI

We build efficient general-purpose AI at every scale.

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