Senior Machine Learning Engineer

Eta Compute; Milano; Remoto; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading AI start-up based in Silicon Valley is seeking a talented ML Engineer to advance its innovative AutoML platform. You'll contribute to developing cutting-edge solutions, integrating new use-cases, and collaborating on data strategies—all in a flexible remote setup that values your entrepreneurial spirit.

Competenze

• 4+ years of industry experience in ML / DS or PhD with a stellar academic track.
• Experience in AutoML and Edge AI is highly relevant.
• Familiarity with ML frameworks like TensorFlow and PyTorch.

Mansioni

• Develop and enhance cloud-based AutoML systems for Edge AI.
• Integrate new ML use-cases across domains like vision and time-series.
• Collaborate on data strategies and preprocess data.

Conoscenze

Machine Learning

Data Science

Problem Solving

Communication

Formazione

Bachelor's or Master's in STEM

PhD

Strumenti

TensorFlow

PyTorch

AWS

Node.js

Descrizione del lavoro

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).
• 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
• 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.