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Diabolocom logo
Diabolocom

AI-Powered Cloud Contact Center Software

AI Research Engineer

AI Research ScientistMachine Learning EngineerFull TimeRemoteSeniorTeam 51-200Since 2005H1B No SponsorCompany SiteLinkedIn

Location

France

Posted

103 days ago

Salary

0

Seniority

Senior

Job Description

AI Research Engineer

Diabolocom

• Investigate and resolve complex challenges where no standard solution exists, specifically focusing on noise-robust NLP and data-efficient learning. • Design and manage methodologies for data generation, building pipelines to synthesize and process datasets for training and evaluation where real-world data is scarce or unlabeled. • Research and implement grounded agent systems, exploring techniques like ReAct, Chain-of-Thought, and tool-use optimization to reduce hallucination and improve planning reliability. • Design scientific evaluation protocols and benchmarks that go beyond standard metrics (like accuracy) to measure real world performance. • Stay current with the state-of-the-art in NLP and Agentic AI, contributing to internal knowledge sharing and external publications such as blogs or scientific articles.

Job Requirements

  • A track record of tackling open-ended ML problems, with the ability to navigate ambiguity and design experiments that validate hypotheses.
  • Excellent proficiency in Python, with a history of writing clean, maintainable, and modular code.
  • Strong familiarity with deep learning frameworks such as PyTorch or TensorFlow (fluency in both is a plus), alongside the modern NLP ecosystem.
  • Data-Centric AI: Techniques like Active Learning, Weak Supervision, or Synthetic Data Generation. You understand that data curation is a research activity, not just a maintenance task.
  • Advanced Tuning: Instruction Tuning, RLHF/DPO (Direct Preference Optimization), or Parameter-Efficient Fine-Tuning (LoRA/QLoRA).
  • Agentic Frameworks: Patterns and tools such as LangChain, LangGraph, BAML, or custom tool-use implementations.
  • Speech Processing: Exposure to ASR (Automatic Speech Recognition) systems or research experience in robust NLP for noisy/spoken text.
  • Thought Leadership: A history of published papers, impactful technical blog posts, or novel open-source projects.

Benefits

  • Research with a Landing Zone: Bridge the gap between theoretical breakthroughs and production-grade reality, solving high-stakes problems at scale.
  • Contribute to the Frontier: Stay at the cutting edge of the field by contributing to and publishing state-of-the-art (SOTA) research.
  • An AI-Native Environment: Join a company where AI is the fundamental engine of our strategy, not a peripheral experiment or a "bolt-on" feature.
  • High-Caliber Collaboration: Work alongside a veteran team of researchers and engineers who value rigorous technical standards and radical autonomy.
  • Work Where You’re Best: We offer a "results-only" culture with flexible arrangements and a remote-first mindset.
  • Flexible working arrangements and remote work options.

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