About NomadicML Americans drive over 5 trillion miles a year, more than 500 billion of them recorded. Buried in that footage is the next frontier of machine intelligence. At NomadicML, we’re building the platform that unlocks it. Our Vision-Language Models (VLMs) act as the new “hydraulic mining” for video, transforming raw footage into structured intelligence that powers real-world autonomy and robotics. We partner with industry leaders across self-driving, robotics, and industrial automation to mine insights from petabytes of data that were once unusable. NomadicML was founded by Mustafa Bal and Varun Krishnan , who met at Harvard University while studying Computer Science. Mustafa is a core contributor to ONNX Runtime and DeepSpeed with deep expertise in distributed systems and large-scale model training infrastructure Varun is an INFORMS Wagner Prize Finalist for his research in large-scale driver navigation AI models and one of the top chess players in the US. Our team has built mission-critical AI systems at Snowflake, Lyft, Microsoft, Amazon, and IBM Research , holds top-tier publications in VLMS and AI at conferences like CVPR , and moves with the speed and clarity of a startup obsessed with impact. About the Role We’re looking for a Frontend Engineer who can move extremely fast and turn ambitious designs into polished, production-ready interfaces. This role sits at the intersection of design, product, and engineering . You’ll work closely with our founding designer and backend / ML teams to ship new product surfaces, workflows, and interactions at startup speed. You’ll be responsible for making sure everything looks right, feels right, and works flawlessly, from complex video review dashboards to high-impact landing pages. The ideal candidate is deeply execution-oriented, comfortable using modern AI-powered dev tools to accelerate development, and excited to experiment, iterate, and ship. If you enjoy taking loosely defined ideas and rapidly turning them into beautiful, usable software, this role is for you.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees