PAre you a high-impact individual tired of corporate inertia slowing you down? At our AI start-up, we don't just welcome your drive, we thrive on it! Forget being a cog; here, your talent directly shapes ground-breaking AI. We offer the freedom and autonomy to stretch your wings, execute rapidly, and see your vision come to life – all with the flexibility of a remote setup. If you're ready to build something extraordinary without the usual limitations, let's connect! /ppuAbout Us : /u Headquartered in Silicon Valley (Sunnyvale, CA), Eta Compute Inc. is an innovative start up delivering energy-efficient Edge AI / ML solutions. Our core product, SaaS Aptos Edge MLOps, is a no-code AutoML toolchain for low-power edge devices. /ppuThe Role : /u We're seeking an outstanding, talented and committed ML Engineer to advance our AutoML platform. You'll be key in expanding its capabilities, onboarding new ML use-cases (vision, time-series, etc.), and improving the product. We value candidates with a start-up and entrepreneurial mindset. /ppbKey Responsibilities : /b /pulliContribute to the development and enhancement of our cloud based AutoML system for Edge AI. /liliCracking hard ML problems on the platforms internal AI engine and supporting services. /liliIntegrate new ML use-cases across various domains (vision, timeseries and other). /liliDesign and build pipelines combining AI and conventional algorithms for edge applications. /liliCollaborate on data strategies, preprocessing, and model training. /liliStay updated with Edge AI and AutoML advancements. /li /ulpbQualifications : /b /pulliBachelor's or Master's (PhD a plus) in STEM (Computer Science or related fields). /lili4+ years of industry experience in ML / DS or, in case of PhD, stellar academic track /liliexperience in AutoML and / or Edge AI is highly relevant for the job /liliexperience in Edge AI relevant user cases : vision (image, video, reid, tracking), timeseries, audio is desired. NLP or GNN is a plus /liliExperience with cloud platforms (e.g., AWS) and technologies (e.g., Node.js, web technologies, and API development) is highly relevant. /liliFamiliarity with ML frameworks (TensorFlow, PyTorch, ONNX). /liliExperience working with various ML use-cases and expanding into new data domains. /liliApplied research acumen and an entrepreneurial approach are valued. /liliUnderstanding of embedded systems concepts or hands-on experience is a plus. /liliExcellent problem-solving and English communication skills. /li /ulpuLocation : /u Remote. Occasional project meeting travels are required. /ppuContract type : /u Job contract or B2B, with full time-commitment. /p #J-18808-Ljbffr