Senior ML Engineer (AI Research)
Core
Senior ML Engineer focused on applied AI research, developing advanced intelligent systems including reinforcement learning, agentic systems, and reasoning models.
Role type
Senior IC machine learning engineer (AI research)
Builds
Large-scale AI models and research prototypes for practical applications
Domain
Artificial Intelligence, Machine Learning, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
Reinforcement learning, Large language models, Model distillation, Guided search, Distributed training, Python, JAX, Statistical rigor, Experimental design, Technical documentation
Preferred skills
Deep reinforcement learning for LLMs, RoPE, ZeRO/FSDP, Flash Attention, Quantization, Open-source contributions, Large-scale distributed data processing
Technologies
Python, JAX, CI/CD, Version control
Responsibilities
Conduct applied machine learning research in guided search, reinforcement learning, and agentic systems; Design and execute experiments for training large language models; Develop efficient methods for incorporating large-scale data into post-training workflows; Train large-scale machine learning models across multiple computational nodes; Translate promising research findings into practical solutions; Contribute to technical publications and research reports.
Seniority
Senior, hands-on IC
