AI Researcher - Post-Training (f/m/d)

Stellenbeschreibung:

Overview

In this Senior Researcher role you help advance enterprise-grade coding agents by combining static analysis with cutting-edge LLM post-training. You’ll work in a cross-disciplinary team to translate research into practical, customer-ready products. You’ll stay at the forefront of LLM and agentic developments, explaining complex ideas to diverse audiences. This is a hands-on, impact-driven position in a fast-growing AI software company that values collaboration and high-quality outcomes.

Leistungen / Benefits
  • relocation support
  • anchor days in-office (Mon/Tue/Thu)
  • diverse and inclusive culture
  • equal opportunity employer
  • opportunity to relocate for right candidate
  • comprehensive background checks before start
Verantwortungsbereiche
  • Develop and implement products enabling post-trained models to power agentic coding practices
  • Collaborate with researchers, engineers, and MLOps to turn prototypes into viable products
  • Contribute ideas to drive next-generation coding model post-training for enterprises
  • Stay up-to-date with LLM and agentic developments and communicate complex concepts to technical and non-technical audiences
Zentrale Anforderungen
  • Master’s or PhD in Computer Science, Machine Learning, or related quantitative field
  • 4+ years of industry experience in machine learning
  • Fluency with Python and core ML frameworks; experience with Rust or flagship languages (C#, C++, JS/TS, Java) a plus
  • Expertise in post-training of large language models: PPO/GRPO, RLVR, SFT, PEFT, data-centric AI methods
  • Excellent communication in English
  • ability to explain complex technical topics clearly and concisely
  • cross-disciplinary collaboration
  • Python with core ML frameworks
  • Rust, C#, C++, JS/TS, Java
  • Post-training of large language models
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Bochum
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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