Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Топовая возможность поработать с самым передовым пост-трейнингом LLM в прибыльной компании-лидере. Единственный реальный минус - обязательный переезд в Женеву.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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