Senior Research Scientist – Architectures Research

Job not on LinkedIn

🔥 12 hours ago

🌐 Israel, United Kingdom – Remote

🇮🇱 Israel – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 25%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Develop new model architectures and methods in areas including efficient, sparse, and adaptive attention; long-context models and persistent memory; post-training transformation of pretrained models; selective computation and dynamic inference; and architectures for reasoning and continual adaptation • Formulate original research questions and translate them into rigorous experimental programs • Design and evaluate architectural changes at meaningful model scales • Develop methods that preserve model quality while reducing training or inference cost • Collaborate with engineering teams to validate ideas in efficient implementations • Publish research and contribute to open-source models, methods, and tools • Mentor researchers and help shape the research stream's direction

🎯 Requirements

• A PhD or equivalent research experience in machine learning • Deep knowledge of transformers, attention, language-model training, and modern model architectures • A strong publication record or comparable evidence of original research • Experience designing rigorous experiments and drawing clear conclusions from ambiguous results • Strong implementation skills in Python and a modern deep-learning framework • Experience training or evaluating models at scale • Clear technical communication and the ability to lead research independently • Experience with long-context modeling, memory systems, sparse or linear attention, model distillation, distributed training, or efficient inference is particularly relevant • Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire

🏖️ Benefits

• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams