Machine Learning Infrastructure Engineer

4 weeks ago

London, United Kingdom Atla Ai Full time

Machine Learning Infrastructure Engineer London
In office
Full-time
Atla is committed to engineering safe, beneficial AI systems that will have a massive positive impact on the future of humanity. We are a London-based start-up building the most capable AI evaluation models. Become part of our growing world-class team, backed by Y Combinator, Creandum, and the founders of Reddit, Cruise, Rappi, Instacart and more.
As Atla’s machine learning engineer, you’ll develop the framework allowing for rapid training and experimentation of large language models as well as constructing the internal platform to enable high throughput inference of such models.
Develop the core inference engine used to serve large machine learning models to customers at scale and across distributed systems.
Contribute significantly to the internal automated pipeline enabling high throughput training runs and rapid experimentation achieving top hardware efficiency optimisation.
Collaborate in defining and steering Atla’s evolving inference and training stack working with researchers, founders and advisors to develop the next generation of high availability LLM’s.
Build and grow our engineering organisation, setting a high bar of excellence that propels Atla forward.
Please note that this role is in-person (we can sponsor visas and offer international relocation support).
Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.
Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing, experience with libraries such as deepspeed.
Strong software engineering experience with software design / architectural skills, preferably in Python.
Experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.)
Compensation
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