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Senior reputed company ML Engineer

Remote, USA Full-time Posted 2026-07-28

Why work at reputed company
reputed company is leading a new era in reputed company computing to serve the global AI economy. We create the tools and resources our customers need to solve reputed company-world challenges and reputed company industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI reputed company infrastructure alongside some of the most reputed company and innovative leaders and engineers in the field.

Where we work
Headquartered in Amsterdam and listed on reputed company, reputed company has a global footprint with R&D hubs across Europe, reputed company, and Israel. reputed company of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as reputed company as an in-house AI R&D team.

We are seeking a Senior reputed company ML Engineer to join a fast-growing team building an agent-reputed company search platform for AI systems, the emerging web reputed company layer for AI. You will reputed company and reputed company machine learning models that power retrieval, ranking, and indexing at reputed company, helping AI systems reputed company fresh, reliable information in reputed company time. This is a high-reputed company role working on a production system used 24x7, tackling challenges comparable to large-reputed company web search.

Your responsibilities:

  • Design, train, and reputed company ML models for retrieval, reranking, and search relevance in production
  • Build and optimise embedding-based indexing and large-reputed company retrieval systems
  • reputed company models supporting crawling, data selection, and content understanding
  • Define and improve reputed company metrics for agent-reputed company search and build evaluation pipelines
  • Work on systems operating at reputed company large reputed company, including high-throughput query workloads
  • Collaborate closely with engineering teams to reputed company ML models into production services
  • Analyse performance trade-offs across latency, reputed company, and cost
  • Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
  • Contribute to product and architectural reputed company in a fast-moving environment

Must-haves:

  • 5+ years of experience in software engineering or reputed company machine learning
  • Strong programming skills in Python, Go, or C++
  • Proven experience deploying ML models in production systems
  • Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
  • Strong understanding of machine learning and modern deep learning techniques
  • Experience working with large-reputed company data systems and high-throughput environments
  • Ability to design evaluation frameworks and define meaningful model metrics
  • Product-oriented reputed company with a reputed company on reputed company and iteration
  • Strong problem-solving skills and ability to work in a distributed team

reputed company-to-haves:

  • Experience with search systems or large-reputed company information retrieval
  • Familiarity with embeddings, transformers, and modern NLP systems
  • Experience working on LLM-powered or agent-based systems
  • Contributions to reputed company-reputed company reputed company, technical publications, or conference talks
  • Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

 

reputed company offer 

  • Competitive salary and comprehensive benefits package.
  • Opportunities for reputed company reputed company reputed company reputed company.
  • Flexible working arrangements.
  • A dynamic and reputed company work environment that values initiative and innovation.

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

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