3 дня назад
Senior ML Researcher (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior ML Researcher (AI): Building end-to-end fine-tuning, reinforcement learning, and evaluation capabilities for an ML platform with an accent on LLM post-training, reward modeling, and scalable production workflows. Focus on designing GRPO-style methods, calibrating LLM-as-judge systems against human labels, and turning applied research experiments into self-serve platform features.
Location: European Union. Full remote is available; hybrid work is available if based in the Netherlands or Serbia.
Company
AI builds data and machine-learning products that help leading AI companies train, evaluate, and improve generative AI models.
What you will do
- Own end-to-end fine-tuning pipelines, including data preparation, SFT/LoRA training, model distillation, evaluation, and serving handoff.
- Extend the post-training stack with reinforcement learning, GRPO-style methods, reward modeling, and LLM-judge-based rewards.
- Build evaluation harnesses calibrated against human labels, including golden datasets and regression evaluations.
- Improve the platform’s guiding agent through prompt and tool design, evaluation-driven iteration, and stress testing.
- Run experiments for client projects and convert successful approaches into repeatable platform capabilities.
- Collaborate with platform engineers on SDK and API interfaces for training and evaluation workflows.
Requirements
- 4+ years of experience in ML engineering or applied research, including 1–2 years working hands-on with LLMs.
- Practical experience fine-tuning open-weight models with LoRA or full fine-tuning, including data curation.
- Strong understanding of LLM evaluation and LLM-as-judge calibration against human judgments.
- Strong Python engineering skills and experience with PyTorch, the Hugging Face ecosystem, and vLLM or similar tools.
- Product mindset and ability to work effectively with ambiguity and changing priorities.
- English fluency at B2 level or above; candidates must be based in the European Union.
Nice to have
- Experience with RLHF, RLAIF, GRPO, PPO-style post-training, or reward modeling.
- Experience with DSPy, GEPA, prompt compression, distillation, or quantization.
- Experience building agentic systems or shipping ML features in self-serve products.
Culture & Benefits
- International, remote-first environment with a globally distributed team.
- Full remote or hybrid work model, with hybrid availability in the Netherlands and Serbia.
- Competitive compensation package with base salary, bonus, and ESOP.
- Paid PTO, location-dependent benefits, IT setup, and home office allowances.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
3 дня назад
Senior AI/ML Engineer (LLMs)
200 000 - 235 000$
5 дней назад
LLM Engineer (AI)
72 000 - 100 000$
4 дня назад
Senior Machine Learning Engineer (AI)
Okta
5 дней назад
Principal Applied AI/ML Scientist (Auth0 Lab)
274 000 - 376 200$
Re.Source
5 часов назад
ML Engineer (NLP)
3 000$
8 дней назад