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Senior Applied ML Engineer

Remote · USA Full-time New today

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 transform 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 America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will reputed company and reputed company machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in reputed company time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale 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-scale retrieval systems
  • reputed company models supporting crawling, data selection, and content understanding
  • Define and improve quality metrics for agent-native search and build evaluation pipelines
  • Work on systems operating at reputed company large scale, including high-throughput query workloads
  • Collaborate closely with engineering teams to integrate ML models into production services
  • Analyse performance trade-offs across latency, quality, 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 applied 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-scale data systems and high-throughput environments
  • Ability to design evaluation frameworks and define meaningful model metrics
  • Product-oriented reputed company with a focus on impact and iteration
  • Strong problem-solving skills and ability to work in a distributed team

reputed company-to-haves

  • Experience with search systems or large-scale information retrieval
  • Familiarity with embeddings, transformers, and modern NLP systems
  • Experience working on LLM-powered or agent-based systems
  • Contributions to open-reputed company projects, 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 professional growth reputed company reputed company.
  • Flexible working arrangements.
  • A dynamic and collaborative 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!

Apply To This Job

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