Hiring: Member of Technical Staff - Embedded ML Engineer (Audio/Omni) Company: Liquid AI Location: San Francisco, CA Job Posted Time: 2026-09-10 10:30:51 Employment Type: Internship Target Skills & Keywords : Computer Vision, Data Pipeline, Embedded Systems, Fine-tuning, LLM, Machine Learning, R About the job Experience: •Hands-on machine learning experience: roughly 2+ years, though we are open to exceptional early-career candidates with strong internship track records. •You have personally trained models end-to-end, in any modality (computer vision, ADAS, LLMs, audio). Building applications around model APIs does not qualify. •Strong communication skills; this is a client-facing role. Required Skills: •Liquid AI's models ship inside real products, including vehicles from flagship automotive design partners with hard production release dates. •This role sits at the center of that work: you will run the day-to-day model development pipeline for our marquee automotive engagement, working directly with the engineer who leads our embedded customer R&D. •Take ambiguous feature requests from partner product teams and turn them into trained, evaluated, production-ready model checkpoints. Over your first months, the end-to-end pipeline (requirements, data generation, training, evaluation) is progressively handed to you until you operate it autonomously. •Runs with it: You take a loosely-defined task and drive it to done without waiting for step-by-step direction. •Client-ready communicator: You can explain something technical you built from first principles to someone with zero context, clearly and without jargon. You will do this daily, with partners and internally. •High energy, high urgency: You move fast, you like shipping against real deadlines, and crunch periods around releases don't faze you. •Low ego: You are happy doing the unglamorous work that makes fast-moving projects hold together: cleaning data, polishing deliverables, building dashboards, documenting. •Comfortable with shifting requirements: Partner specs change constantly. You treat that as the job, not an annoyance. Qualifications: •Audio or speech model experience. •Function calling / tool-use fine-tuning experience. •Multilingual model or data experience. •Background at automotive, autonomous vehicle, or defense research labs. •What Success Looks Like (Year One) •Within six months, you have made a non-trivial, quantifiable impact on a marquee automotive engagement, validated directly by partner feedback on service quality. •You operate the core model development pipeline (requirements, data generation, training, evaluation) autonomously across a major software release. •Function-calling quality holds across an expanding set of supported languages while new capabilities are layered onto the model. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!