Member of Technical Staff, Integration/RL Team
Build and scale high-performance software and distributed reinforcement-learning systems for LLM post-training. The role combines production engineering, research tooling, algorithm optimization, and collaboration across infrastructure and scientific teams.
About the job
Responsibilities
- Design and write high-performing, scalable software for training models.
- Develop tools to support and accelerate research and LLM training.
- Coordinate with infrastructure, efficiency, serving, and scientific teams to build an integrated post-training ecosystem.
- Implement techniques to improve performance and accelerate training cycles across supervised fine-tuning (SFT), offline preference optimization, and reinforcement learning.
- Research, implement, and experiment with ideas on cluster and data infrastructure.
- Collaborate with scientists, engineers, and cross-functional teams.
Requirements
- Extremely strong software engineering skills.
- Value test-driven development, clean code, and reducing technical debt.
- Proficiency in Python and related machine-learning frameworks such as JAX, PyTorch, and/or XLA/MLIR.
- Experience using and debugging large-scale distributed training strategies, including memory and speed profiling.
Nice-to-haves
- Experience with distributed training infrastructure such as Kubernetes and associated frameworks such as Ray.
- Hands-on experience with model post-training, particularly scalability and performance.
- Experience in machine-learning, LLM, and reinforcement-learning academic research.
Benefits
- Weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate mental-health budget.
- RRSP matching, 401(k), or pension scheme.
- Up to six months of 100% parental-leave top-up for either parent.
- Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation.
- Travel budget for remote employees and an annual company offsite.
- Coworking benefit for employees not near an office.
- $500 home-office stipend.
Skills
Python, JAX, PyTorch, Xla, Mlir, Kubernetes, Ray, Distributed Training, Reinforcement Learning, LLMs, Machine Learning, Test-Driven Development, Memory Profiling, Speed Profiling, Cluster Infrastructure
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