Senior ML Engineer (AI Research)

TL;DR

Senior ML Engineer (AI Research): Conducting applied research in AI, focusing on areas like guided search, reinforcement learning for agentic systems, and web-scale problem collection for training agents. Focus on designing experiments, developing efficient training methods for large language models, and exploring novel methods for agent training.

Location: Remote from Europe or Israel, or onsite in Amsterdam (Netherlands) or United Kingdom

Company

hirify.global is a Nasdaq-listed cloud computing company headquartered in Amsterdam, focused on providing tools and resources for the global AI economy.

What you will do

• Conduct applied research in AI, specifically in areas like guided search, reinforcement learning for agentic systems, web-scale problem collection, and efficient model distillation.
• Design and execute experiments to train large language models on interaction traces with various environments.
• Explore methods for guided generation and search in trajectory space.
• Develop strategies to mine relevant data at web scale and integrate it into model post-training.
• Conduct experiments with reinforcement learning configurations in verifiable and non-verifiable domains.
• Collaborate with adjacent teams to apply research findings in practice.

Requirements

• Profound understanding of machine learning and reinforcement learning foundations.
• Deep expertise in modern deep learning for language processing and generation.
• Substantial experience with training large models on multiple computational nodes.
• Strong software engineering skills (Python, Jax framework).
• Ability to design, execute, and analyze machine learning experiments with statistical rigor.
• Strong communication and leadership abilities.
• Excellent command of the English language.

Nice to have

• Experience with deep reinforcement learning for LLMs (reward modeling, DPO, PPO).
• Familiarity with LLM concepts (RoPE, ZeRO/FSDP, Flash Attention, quantization).
• Experience building and delivering products in a dynamic startup-like environment.
• Open-source contributions or experience in engineering complex distributed systems.
• Proficiency in contemporary software engineering approaches (CI/CD, version control, unit testing).

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth.
• Flexible working arrangements.
• Dynamic and collaborative work environment that values initiative and innovation.