Technical Staff Member – Embedded ML Engineer, Audio/Omni

Liquid AI

Embedded ML Engineer developing on-device models for automotive partners. Ensure efficient model deployment while collaborating with product managers and engineering teams.

Posted 7/28/2026full-timeSan Francisco • California • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in end-to-end model development, particularly in machine learning for audio applications, while effectively managing large-scale data pipelines and delivering polished client-facing documentation and analyses.

Highest-signal resume keywords

Machine Learning ExperienceEnd-to-End Model TrainingLarge-Scale Data PipelinesAutomotive Embedded-Device ContextStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model TrainingData AnalysisData CleaningModel Fine-TuningFeature Specification Translation

Soft Skills

Client-Facing CommunicationPresentation Skills

Tools & Technologies

Data PipelinesDashboardsDocumentation Tools

Industry Keywords

AutomotiveEmbedded-DeviceOn-Device MLComputer VisionADAS

About the role

Key responsibilities & impact

Join partner calls, work with partner product managers, and translate broad, ambiguous feature specs into concrete model training requirements.
Own the core fine-tuning recipe for an on-device audio-to-function-calling model: keep tool calling accurate and reliable across all supported languages.
Generate, clean, and analyze training data; build and maintain the large-scale data pipelines that feed training.
Run training and evaluation cycles against partner requirements on a continuous loop through major software releases.
Make fast-moving work presentable: dashboards, analyses, documentation, and polished partner-facing deliverables.
Progressively take ownership of the end-to-end model development pipeline, from spec intake through delivered checkpoint.

Requirements

What you’ll need

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.
Experience working with large-scale data pipelines and wrangling large volumes of data.
Experience in an automotive, embedded-device, or on-device ML context, and the instinct to reason from first principles about those environments.
Strong communication skills; this is a client-facing role.

Benefits

Comp & perks

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