обновлено 7 дней назад
AI Research Scientist/Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist/Engineer (AI/LLM): Developing and integrating AI models and agentic techniques for source-code analysis, including bug, vulnerability, and code-smell detection, with an accent on dataset construction, benchmarking, and scalable data pipelines. Focus on building RAG systems, fine-tuning LLMs, working with vector databases, and translating research prototypes into reliable products.
Location: Geneva, Switzerland; on-site. Candidates must be genuinely based in Geneva or be willing to relocate to Geneva. The role includes three anchor office days: Mondays, Tuesdays, and Thursdays.
Company
develops AI code verification and governance products that help organizations make AI-generated software reliable, secure, maintainable, and compliant.
What you will do
- Conceptualize and research practical AI, LLM, and agentic solutions for source-code analysis.
- Design, prototype, and validate ML models that detect and resolve bugs, vulnerabilities, and code smells.
- Build prototypes, identify scalability and engineering bottlenecks, and propose mitigations.
- Construct datasets, define success metrics, and implement benchmarks for AI-powered features.
- Build and manage large-scale data pipelines for code-centric training and evaluation datasets.
- Collaborate with engineering and product teams to integrate successful prototypes into products and communicate research findings clearly.
Requirements
- At least 2 years of industry experience in AI and a strong understanding of modern software engineering practices.
- Exceptional Python programming skills and the ability to write clean, documented code for product integration.
- Practical experience with modern AI/ML frameworks, LLMs, and third-party or open-source AI tools.
- Experience constructing datasets, defining objective metrics, and building robust AI benchmarks.
- Experience with LLM fine-tuning, including LoRA or QLoRA, prompt engineering, RAG pipelines, vector databases, and semantic search.
- Experience with large-scale data processing, cloud infrastructure such as AWS, autonomous research projects, and communicating complex findings in English.
Nice to have
- Experience with Java or other programming languages in addition to Python.
Culture & Benefits
- In-office collaboration is centered around Mondays, Tuesdays, and Thursdays.
- Work takes place within a global organization operating across hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington, D.C.
- Relocation support is available for the right candidate.
- promotes diversity, equity, inclusion, and equal opportunity.
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