AI/ML Research Scientist

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟢 Junior

🧬 Research Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Commit

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Commit is a global tech services company founded in 2005, with a presence in Israel, the US, Canada, the UK, and Europe. It specializes in advanced technologies and applications, providing innovative, end-to-end technology solutions, including custom software and IoT platforms. Commit has over 700 multidisciplinary experts who cater to a wide array of companies, from startups to large enterprises, and focuses on areas like Cloud, GenAI, Software, IoT, Big Data, Cybersecurity, and data center migration. Its proprietary Flexible R&D methodology supports clients in transforming their technology visions into high-quality products while reducing costs and improving time-to-market.

📋 Description

• Conduct cutting-edge research applying machine learning techniques to chip design and optimization problems • Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures • Collaborate with cross-functional teams including engineers and researchers • Publish research findings in top-tier conferences and journals • Prototype and validate new approaches using modern ML frameworks • Contribute to open-source or commercial EDA tools

🎯 Requirements

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field • 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models • Strong coding skills in Python and C++ • Experience with machine learning frameworks like PyTorch • At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.) • Nice to have: Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees) • Nice to have: Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.) • Nice to have: Experience with EDA tools, either commercial or open-source • Nice to have: Publications in top-tier venues focusing on AI for chip design or AI for materials science