About Atla
Atla is committed to building safe, beneficial AI systems that will have a massive positive impact on the future of humanity. We are a London-based start-up training frontier AI evaluation models. Become part of our growing world-class team. We are backed by Y Combinator, Creandum, and the founders of Reddit, Cruise, Rappi, Instacart and more.
Role
As Atla’s Machine Learning Engineer, you’ll spearhead the scaling of our fine-tuning and inference frameworks for large language models.
- Build an automated fine-tuning framework that can scale to the next order of magnitude of training runs.
- Explore novel synthetic data generation techniques in close collaboration with our research team to ensure high-quality and diverse data at scale.
- Engineer robust, high-performance inference platforms to ensure our products' reliability, throughput and speed at scale.
- Collaborate in defining and steering Atla’s evolving inference and training stack working with our researchers, founders and advisors to develop the most powerful evaluation models.
- Lead and grow our engineering organisation, setting a high bar of excellence as a core member of the Atla team.
Please note that this role is in-person (we can sponsor visas and offer international relocation support as a UK AI Futures partner!)
Qualifications
Evidence of exceptional ML engineering ability:
- Proficiency in creating and managing multi-instance clusters for parallel training across GPUs/TPUs, preferably using PyTorch and Kubernetes.
- Demonstrated experience with serving large ML models at scale, including quantisation and distributed computing.
- Experience in operating orchestration systems using SLURM, Ray, or similar.
- Familiarity with latest AI research and its implementation.
Nice to have
- Experience at a leading AI company (Mistral, Anthropic, OpenAI, X.ai, HuggingFace, Cohere, Stability, etc.)
- Interested in and thoughtful about of the impacts of AI technology.
About you
You are going to thrive at Atla with the following mindset:
- Collaborative and team-oriented, with strong communication skills.
- Comfortable with the uncertainty and fast pace of a hyper-growth startup.
- Willingness to continuously learn and adapt in a dynamic environment.
- Unpretentious and hard working; find the best ideas wherever they come from.
Compensation
- £100K - £300K GBP
- Significant stake in equity as one of the first joiners
- Pension plan
- Medical, dental, and vision benefits