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8 дней назад

Principal ML Researcher (LLM)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Principal ML Researcher (LLM): Defining the technical vision and architecture for Toloka’s core ML and post-training stack with an accent on LLM alignment, automated evaluation, and production-scale inference optimization. Focus on designing advanced reinforcement-learning pipelines, building calibrated LLM-as-a-judge systems, and shaping agentic workflows with reliable cost and latency trade-offs.

Location: European Union; full remote or hybrid if based in the Netherlands or Serbia

Company

hirify.global AI is a well-funded startup that creates data and machine-learning solutions for GenAI models using experts, crowdsourcing, and technology platforms.

What you will do

  • Define the multi-quarter technical strategy and architecture for the ML post-training stack.
  • Design advanced post-training and reinforcement-learning pipelines using GRPO, PPO, DPO, reward modeling, and RLAIF.
  • Build automated evaluation ecosystems with LLM-as-a-judge frameworks, dynamic benchmarks, calibration, and regression controls.
  • Lead research in model distillation, quantization, context compression, speculative decoding, and inference optimization.
  • Architect autonomous agents and tool-use workflows for multi-step reasoning, self-correction, and evaluation-driven feedback.
  • Mentor senior ML researchers and engineers, conduct architecture reviews, and represent research through technical writing and talks.

Requirements

  • 6+ years of experience in ML engineering or applied research, including 3+ years leading LLM post-training, fine-tuning, or alignment initiatives at scale.
  • Deep practical and theoretical knowledge of SFT, LoRA/PEFT, RLHF/RLAIF, GRPO, DPO, PPO, reward modeling, and reasoning-oriented post-training.
  • Experience building evaluation pipelines from scratch and calibrating automated evaluations against human standards.
  • Strong Python, PyTorch, distributed training, DeepSpeed, Megatron, FSDP, vLLM, and TensorRT-LLM skills.
  • Proven technical leadership, architectural decision-making, mentoring, and cross-functional product influence.
  • Fluent written and spoken English at C1 level is required.

Culture & Benefits

  • International, dynamic environment focused on innovation in AI and technology.
  • Competitive compensation package with base salary, bonus, and ESOP.
  • Paid PTO and location-dependent benefits.
  • Full remote or hybrid work model, with hybrid available for people based in the Netherlands or Serbia.
  • IT setup and home office allowances.

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