Technical Staff Member - Embedded ML Engineer, Audio/Omni

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 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. Core Competencies 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 Experience End-to-End Model Training Large-Scale Data Pipelines Automotive Embedded-Device Context Strong Communication Skills ATS Optimization Keywords Hard Skills Model Training Data Analysis Data Cleaning Model Fine-Tuning Feature Specification Translation Soft Skills Client-Facing Communication Presentation Skills Industry Keywords Automotive Embedded-Device On-Device ML Computer Vision ADAS Tools & Technologies Data Pipelines Dashboards Documentation Tools #J-18808-Ljbffr Jobtailor