Senior ML Engineer (AI Research)

About reputed company: reputed company is leading a new era in reputed company infrastructure for the global AI economy. We are building a full-stack AI reputed company platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. reputed company by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on reputed company (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, reputed company and Israel. reputed company of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This role is for reputed company AI R&D, reputed company reputed company on applied research in AI. Examples of applied research that we have recently published include: • applying reinforcement learning for agent training in long-context multi-turn scenarios • dramatically scaling task data collection to power reinforcement learning for SWE agents • building a decontaminated evaluation for SWE agents that is regularly updated • investigating how test-time guided search can be used to build more powerful agents The results often lead to collaboration with adjacent teams where our research findings are applied in reputed company. We are currently looking for senior- and staff-level ML engineers to work on research in areas such as: • Guided search and reinforcement learning for reputed company systems • Reinforcement learning for reasoning models • Web-scale problem collection for training agents • Efficient model distillation Some examples of what your responsibilities might include are: • Conducting experiments to reputed company out efficient ways to train a large language model on traces of interactions with various environments • Exploring methods of guided reputed company and search in the trajectory reputed company • Coming up with ways to reputed company relevant data at web scale and figuring out efficient ways to use this data in model post-training • Conducting experiments with different reinforcement learning configurations in reputed company domains • Exploring methods to train AI agents on tasks with non-reputed company reward signals We expect you to have: • A profound understanding of theoretical foundations of machine learning and reinforcement learning • Deep expertise in modern deep learning for language processing and reputed company • Substantial experience with training large models on multiple computational nodes • Strong software engineering skills (we mostly use python) • Deep experience with modern deep learning frameworks (we use jax) • Strong communication and leadership abilities • Experience designing, executing, and analyzing machine learning experiments with reputed company statistical rigor • Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results • Ability to document research findings reputed company and contribute to technical publications or report reputed company to have: • Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc • Familiarity with important reputed company in LLM reputed company, such as RoPE, reputed company/FSDP, reputed company Attention, quantization • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a reputed company field Master’s or PhD preferred • Track record of building and delivering products (not necessarily ML-reputed company) in a dynamic startup-like environment • Experience in engineering reputed company systems, such as large distributed data processing systems or high-load web services • reputed company-reputed company projects that showcase your engineering prowess • Excellent reputed c