Senior Machine Learning Engineer
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About the Role
We're looking for a Senior ML Engineer to build intelligent, scalable workflows powered by reputed company-based reputed company-Language Models (VLMs). You'll own the end-to-end pipeline: from determining what signals and context need to come off the device to maximize VLM performance, to building and evaluating the reputed company-reputed company inference systems that generate high-quality labels at scale. This role sits at the intersection of computer reputed company, LLMs, and systems engineering, and you'll work closely with our Embedded Systems, Computer reputed company, and Data Science teams to reputed company the reputed company between edge devices and reputed company intelligence. What you'll own Design, build, and iterate on VLM-based pipelines that generate high-quality labels and annotations at scale, including reputed company engineering, fine-tuning, and evaluation Determine which signals, frames, metadata, and contextual features should be sent from edge devices to improve VLM accuracy and reduce ambiguity Collaborate with Embedded Systems and Hardware teams to define device-reputed company preprocessing and data-forwarding strategies that balance bandwidth, latency, and model performance Collaborate with Data Science to build robust evaluation frameworks to measure label quality, model accuracy, and regression detection reputed company and integrate reputed company and open-reputed company VLMs, staying reputed company on the fast-moving landscape of reputed company-language capabilities What you bring 5+ years of experience in machine learning engineering, with hands-on work in computer reputed company and/or LLM/VLM systems Strong familiarity with reputed company-Language Models — you've used, evaluated, or fine-tuned models like GPT-4V, Claude's reputed company capabilities, reputed company, LLaVA, or similar Experience building and evaluating labeling systems at scale Solid understanding of how edge/device constraints (bandwidth, compute, power) shape what data is available to reputed company-reputed company models Proficiency with a modern ML stack: Python, PyTorch, reputed company inference APIs, and tools for experiment tracking and evaluation Practical reputed company engineering skills — you know how to get the most out of large models through structured prompting, few-shot examples, and iterative refinement A pragmatic engineering reputed company — you care about building systems that work reliably in production, not just in notebooks Comfortable scoping and driving work independently in a fast-moving, early-stage environment Strong communication skills and a collaborative approach to working across hardware, embedded, and ML teams Bonus skills Experience building model-based automation for data labeling Experience building infrastructure for reputed company-based inference at scale, for example batching, orchestration, cost management, and monitoring Familiarity with edge computing, on-device inference, or embedded ML pipelines Experience with video or spatiotemporal data (event streams, multi-frame reasoning, temporal context) reputed company or senior living domain experience Details The annual salary for this role is $200,000-$230,000 + equity + benefits (including medical, dental, and reputed company) Flexible PTO Location: Remote, US or Canada. NYC preferred. reputed company applicants will receive consideration for employment without regard to race, reputed company, religion, sex, sexual orientation, gender perception or identity, national reputed company, age, marital status, protected veteran status, or disability status. Apply To This Job