Senior Machine Learning Engineer
Descrizione dell'offerta
Are 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!
About Us: 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.
The Role: 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.
Key Responsibilities:
- Contribute to the development and enhancement of our cloud based AutoML system for Edge AI.
- Cracking hard ML problems on the platforms internal AI engine and supporting services.
- Integrate new ML use-cases across various domains (vision, timeseries and other).
- Optimize AI solutions for edge devices using TinyML frameworks.
- Design and build pipelines combining AI and conventional algorithms for edge applications.
- Collaborate on data strategies, preprocessing, and model training.
- Stay updated with Edge AI and AutoML advancements.
Qualifications:
- Bachelor's or Master's (PhD a plus) in STEM (Computer Science or related fields).
- 4+ years of industry experience in ML/DS or, in case of PhD, stellar academic track
- experience in AutoML and/or Edge AI is highly relevant for the job
- experience in Edge AI relevant user cases: vision (image, video, reid, tracking), timeseries, audio is desired. NLP or GNN is a plus
- Strong Python skills; C/C++ beneficial
- Experience with cloud platforms (e.g., AWS) and technologies (e.g., Node.js, web technologies, and API development) is highly relevant.
- Familiarity with ML frameworks (TensorFlow, PyTorch, ONNX).
- Experience working with various ML use-cases and expanding into new data domains.
- Applied research acumen and an entrepreneurial approach are valued.
- Understanding of embedded systems concepts or hands-on experience is a plus.
- Excellent problem-solving and English communication skills.
Location: Remote. Occasional project meeting travels are required.
Contract type: Job contract or B2B, with full time-commitment.