Senior ML Engineer – AI Research, Portability

Job not on LinkedIn

🕒 Yesterday

🌐 Israel, United Kingdom – Remote

🇮🇱 Israel – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧠 AI 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.

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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

• Design and build research prototypes and robust systems at the seams between models, providers, and agent runtimes • Formulate research questions and develop evaluation methods • Test ideas in realistic agent workflows and turn promising results into reusable components • Design, implement, train, and evaluate model routers • Develop portable provider and protocol abstractions preserving authentication, telemetry, cache and context signals, and execution provenance • Define versioned schemas and contracts for models, providers, agents, workspaces, skills, actions, tools, memories, and trajectories • Build systems that discover, package, adapt, and validate agent skills across coding agents, editors, and other harnesses • Research user-owned memory, scoped identity, trajectory checkpoints, terminal outcomes, retrieval quality, and reviewable context compaction • Create benchmark suites and evaluation protocols for quality, cost, latency, reliability, safety, and portability • Design held-out, out-of-domain, and change-impact evaluations • Investigate distillation, self-improving harnesses, multi-agent training, agent factories, and automated skill creation • Write robust research software, APIs, integration layers, and test infrastructure • Collaborate across research, infrastructure, security, product, and engineering teams • Communicate results through technical reports, demonstrations, open-source releases, benchmarks, and research publications

🎯 Requirements

• A profound understanding of machine learning, large language models, or statistical decision-making • Deep expertise in at least one relevant area, such as model routing, recommender systems, agent systems, retrieval and memory, model evaluation, distributed systems, or protocol and API design • Experience building and evaluating modern language-model or agentic systems, including tool use and multi-turn workflows • Experience designing, executing, and analyzing machine learning experiments with appropriate statistical rigor • Ability to formulate meaningful research questions, design experiments that test clear hypotheses, and draw defensible conclusions • Understanding of evaluation leakage, held-out testing, out-of-domain generalization, uncertainty, and reproducibility • Strong software-engineering and algorithm-design skills; excellent Python skills and ability to work across production systems • Experience with APIs, data schemas, distributed services, testing, observability, code review, and CI/CD • Ability to reason about security, privacy, provenance, permissions, failure modes, and user control in agent systems • Experience implementing research ideas and iterating quickly across modeling, data, systems, and evaluation • Strong communication and technical leadership abilities, including collaboration across research and engineering disciplines and clear documentation of findings in technical reports or research publications • Excellent command of English, with strong technical writing, presentation, and communication skills • Applicants must be authorized to work in the country in which they apply and 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 • Fast moving • Bold thinking • Constant growth • Meaningful impact • Trust and real ownership • Opportunity to shape the future of AI • Equal employment opportunities • Accommodations during the application process