ML Research Engineer

White Circle
Paris, London
Workplace: HybridFull timeUSD 120,000 - 250,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Engineering mindset","Debugging","Problem-solving","Collaboration"]

Build scalable representation and data pipelines that turn unstructured text into structured insights (topics, clusters, trends, anomalies) for AI safety decisions. Train, post-train, and evaluate LLMs using modern alignment approaches (SFT/RLHF/DPO), reward models, and distributed multi-GPU training. Ship self-serve analytics and partner with engineering/research to integrate outputs under production constraints like latency, cost, and privacy.

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FursaFursa
White Circle
White Circle
2 months ago

ML Research Engineer

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Last checked: 1 hour agoStatus: Live

Job Summary

Build scalable representation and data pipelines that turn unstructured text into structured insights (topics, clusters, trends, anomalies) for AI safety decisions. Train, post-train, and evaluate LLMs using modern alignment approaches (SFT/RLHF/DPO), reward models, and distributed multi-GPU training. Ship self-serve analytics and partner with engineering/research to integrate outputs under production constraints like latency, cost, and privacy.
Location: Paris, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Turn petabytes of unstructured text into structured, explorable views such as topics, clusters, segments, trends, and anomalies.
  • •Build scalable representation pipelines including sampling, preprocessing/normalization, embeddings at scale, indexing, and retrieval.
  • •Use LLMs pragmatically for labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics with cost/quality controls.
  • •Deliver insights that change decisions by translating findings into product and operational actions.
  • •Ship self-serve analytics (datasets, data models, dashboards) and partner closely with engineering/research to integrate into production workflows.

Pay and Benefits

Salary: USD 120,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Paid LeaveHealth InsuranceRelocation

Key Requirements

  • •Strong Python + SQL with an engineering mindset to build reliable pipelines beyond notebooks.
  • •Applied NLP/ML experience on real-world text including embeddings, clustering, topic modeling, semantic search, and classification.
  • •Comfortable at scale with distributed processing and performance/cost tradeoffs.
  • •Experience evaluating fuzzy problems using offline/online metrics, human-in-the-loop labeling, drift monitoring, and reproducibility.
  • •Prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability.
Experience:AI safetyNLPLLM
Skills:Engineering mindsetDebuggingProblem-solvingCollaboration
Languages:English
Tech Stack:PythonSQLLLMsNLPEmbeddingsClusteringTopic modelingSemantic searchHuggingFaceGitHubMulti-GPU trainingDistributed trainingSFTRLHFDPOReward modelsIndexingRetrieval

Company Brief

White Circle
Builds AI-driven products and services to help businesses automate workflows, extract insights from data, and improve decision-making using machine learning and natural language processing technologies.
Industry: AI & Machine Learning
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