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2 months ago

AI Researcher (Post-Training)

Work format
onsite
Work type
fulltime
Grade
senior
English
c1
Country
Switzerland
Relocation
Switzerland
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
AI Researcher (Post-Training): Developing next-generation solutions for enterprise-grade coding agents and models with an accent on LLM post-training and static analysis. Focus on implementing policy optimization algorithms, verifier-based RL frameworks, and data-centric AI methods to ensure high-quality code generation.

Location: On-site in Geneva, Switzerland (Relocation supported for the right candidate)

Company

hirify.global is a leader in AI code verification and governance, helping enterprises ensure that software generated by AI agents is reliable, secure, and maintainable.

What you will do

  • Develop and implement advanced products that enable customers to post-train models for agentic coding practices.
  • Translate research prototypes and proofs-of-concept into cutting-edge enterprise products.
  • Collaborate with researchers, research engineers, and MLOps to design hypotheses and experiments.
  • Drive the next generation of coding model post-training as a subject matter expert.
  • Stay up-to-date with LLM and agentic developments and communicate complex technical concepts to various audiences.

Requirements

  • Must be based in or willing to relocate to Geneva, Switzerland.
  • Advanced academic background (Master’s or PhD) in Computer Science, Machine Learning, or a related quantitative field.
  • 4+ years of industry experience in machine learning with a solid understanding of software engineering practices.
  • Expertise in LLM post-training, including policy optimization (GRPO, PPO), RLVR, SFT, PEFT, and alignment.
  • Proficiency in Python and core ML frameworks.
  • English: C1+ (Excellent communication skills) required.

Nice to have

  • Experience with Rust or hirify.globalQube’s flagship languages (C#, C++, JS/TS, Java).

Culture & Benefits

  • Intentional in-office culture with three anchor days (Mondays, Tuesdays, and Thursdays) to foster collaboration.
  • Fast-paced, profitable growth environment within a global company.
  • Opportunity to work at the forefront of the AI software revolution.
  • Commitment to diversity, equity, and inclusion.

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