Research Engineer (LLM Performance), London

Your impact 

This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.

Working in a highly creative, iterative environment, you will join the model performance and scaling team, where you will partner with scientists and engineers to scale foundational models that will transform the biopharmaceutical world as we know it.  

You will draw upon your existing engineering experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered model and systems performance optimizations, as well as machine learning, computational biology and chemistry problems.

What you will do 

• Implement and optimize LLM post-training methods at scale on frontier models.
• Collaborate with research teams to translate new methods into production-ready systems.
• Relentlessly prioritize and execute on performance optimization opportunities.
• Evaluate and deploy frameworks for supervised fine-tuning, reinforcement learning and LLM evaluation.
• Diagnose and fix performance bottlenecks and communication overhead in distributed training and inference systems. 
• Deploy low-precision methods to balance performance with accuracy, impacting real world drug design programs.

Skills and qualifications 

Essential:

• Significant experience with large scale distributed training of LLMs.
• Experience with deep learning ML frameworks (either JAX or PyTorch).
• Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).
• Good understanding of GPU architectures. Reasoning about performance concepts is more important than writing kernels from scratch
• Excellent collaboration skills.

Nice to have:

• Experience with general LLM serving stacks.
• Knowledge of XLA, Triton, Pallas, CUDA or similar accelerator DSLs / compilers. 
• Experience with optimising ML accuracy using low-precision formats.
• Prior experience building, deploying and maintaining production systems on GCP.
• Interest in chemistry and biology.

Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. 

Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.

Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy.

>> Click to view other open roles at Isomorphic Labs