Senior Machine Learning Engineer - Search Optimization, Agentic Search
About the job
- At least 6 years of software engineering experience, including some experience in search or information retrieval.
- Strong information-retrieval fundamentals, including inverted indexes, BM25/TF-IDF, query understanding, ranking, and evaluation using nDCG, MRR, or recall@k.
- Experience with vector and hybrid retrieval, approximate nearest neighbor methods, dense-sparse fusion, and embedding models.
- Experience building structured-extraction pipelines over messy or unstructured domain data.
- Fluency in Python and comfort with systems-level performance work.
- Authorization to work in the country of application and proof of employment eligibility as a condition of hire.
- Design, implement, and operate the retrieval system for a search vertical.
- Connect and tune the data pipeline from ingestion through relevance tuning.
- Build knowledge-graph and entity-resolution layers, including entity linking, named entity recognition, ontologies, and graph databases such as Neo4j or similar.
- Develop structured-extraction pipelines over messy, unstructured domain data.
- Model confidence in facts and how stale they have become before serving them.
- Define evaluation and quality metrics for relevance and drive measurable improvements.
- Collaborate with crawling, indexing, and machine-learning teams to ensure retrieval and ranking requirements are met.
- Enable safe experimentation with retrieval, ranking, and extraction strategies.
- Experience with knowledge graphs, including entity resolution, entity linking, named entity recognition, graph databases such as Neo4j, ontologies, and schema design.
- Experience owning relevance or ranking for a real product and improving it against information-retrieval metrics.
- Experience with data quality, truth discovery, or systems that determine how much information should be trusted.
- Published work on information retrieval, ranking, or knowledge graphs.
About the company
Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997
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Simplify's Take
What believers are saying
- Parent sales are expanding: August 2026 results showed quarterly group revenue rising 454% to $582.3 million.
- Enterprise distribution gains a channel: September 2026's Palantir partnership names Nebius its preferred sovereign AI infrastructure partner.
- Junior engineers get guided production experience: Early Talent participants work on real products with dedicated experienced buddies.
What critics are saying
- Existing shareholders faced dilution: August 2026 financing exchanged $800 million of older debt for approximately 15.8 million shares.
- Remote flexibility is limited: its careers FAQ usually permits only one or two home working days each week.
- Expansion still loses money: August 2026 results recorded a $175.9 million quarterly group operating loss.
What makes Nebius unique
- Hardware and software share one design: Nebius engineers its servers, racks, cooling, and cloud platform together.
- Computing heats nearby homes: its Finnish data center feeds recovered heat into the local district heating network.
- Its engineers started together: the founding team brought years of shared big-tech infrastructure work into Nebius.
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Benefits
Health Insurance
401(k) Company Match
Parental Leave
Remote Work Options
Disability Insurance
Life Insurance
Hybrid Work Options
Professional Development Budget
Growth & Insights and Company News
6 month growth
5%1 year growth
-1%2 year growth
-3%Nebius, a Netherlands-based AI infrastructure company, has seen its stock surge from $14.29 at its October 2024 debut to around $220 currently, after peaking at $286.69 in June 2026. The company, formerly known as Yandex, transformed into a "neocloud" provider after divesting its Russian assets following 2022 sanctions. Nebius operates AI-focused data centers across Finland, Iceland, and the US, with 14 more planned. Revenue jumped 351% to $530 million in 2025, whilst first-half 2026 revenue soared 529% year-over-year to $981 million. The company's contracted backlog exceeded $40 billion by mid-2026. Analysts project 2027 revenue of $12.3 billion and adjusted EBITDA of $6.6 billion. Trading at 8 times forward sales, the stock appears undervalued despite concerns about profitability and rising debt from its capital-intensive expansion strategy.
Jim Cramer expressed a preference for CoreWeave over Nebius on Mad Money, citing concerns about Nebius's recent price movement. The valuation gap between the two AI infrastructure companies is substantial. CoreWeave generated $2.575 billion in second-quarter revenue, up 112% year-over-year, compared with Nebius's $582.3 million, which grew 454%. CoreWeave reported approximately $104 billion in revenue backlog. Nebius trades at 46.30 times trailing sales and 47.03 times enterprise value to revenue. CoreWeave trades at 5.97 times sales and 12.38 times enterprise value to revenue, making Nebius's valuation multiples roughly four to seven times higher. Both companies face capital intensity challenges. CoreWeave carried $35.6 billion in total debt as of 30 June, whilst Nebius recorded $8.13 billion in property and equipment purchases during the first half. Hedge fund ownership increased for both companies in the second quarter.
Nebius shares have surged 181% this year to $235.88, driven by a $27 billion five-year deal with Meta and a $2 billion equity investment from NVIDIA. The AI cloud company holds a $37.5 billion backlog and reported second-quarter revenue growth of 454%. However, significant risks remain. Three customers account for 59% of revenue, and the company faces capital expenditure guidance of $20-25 billion. Convertible notes carry a fair value of $20.8 billion, creating substantial dilution risk. Second-quarter capex of $5.66 billion far exceeded operating cash flow of $2.25 billion. Management expects over $9 billion in customer prepayments this year, with recent deals covering 50-60% of associated capex. Analysts see 20% upside to $284, but the stock trades 21% below its 52-week high. Execution remains critical as the company must convert deployed capacity into revenue before its next financing round.
Nebius has signed a 12-year agreement with AIB Data Centers for 50 MW of critical IT capacity at a site in the southeastern US. The deal includes optional renewals, though financial terms were not disclosed. AIB said customer prepayments, along with project-level debt and preferred equity, should fund a substantial portion of initial development costs. The capacity is backed by a 15-year electric service agreement for 65 MW of utility load and will be delivered across two data halls. Nebius provides AI cloud infrastructure for developers and enterprises. Andrey Korolenko, the company's chief product and infrastructure officer, said time-to-power is the binding constraint on AI infrastructure today.
Two AI infrastructure companies, Innodata and Nebius Group, offer contrasting investment profiles as demand for generative AI capabilities accelerates. Innodata provides data engineering and human expertise for AI model training, serving five of the "Magnificent Seven" tech giants. The company reported FY 2025 revenue of nearly $252 million, up 48% year-over-year, with net income of approximately $32.2 million. It operates debt-free with strong cash generation. Nebius Group operates cloud infrastructure for AI model development. The former Yandex unit pivoted to AI in 2025, achieving explosive growth with FY 2025 revenue reaching nearly $530 million, up roughly 350% year-over-year. Net income was approximately $102 million, though the company posted a free cash flow loss of nearly $3.7 billion due to capital spending. Innodata faces customer concentration risk, with one client accounting for nearly 58% of 2025 revenue. Nebius competes against hyperscalers like Amazon and Microsoft whilst managing capital-intensive infrastructure expansion. Despite a higher price-to-sales ratio of 42.6x versus Innodata's 7.3x, Nebius's lower forward P/E of 37.8x and projected $3.3 billion in 2026 sales present stronger growth prospects.