We’re looking for founding team members for Anterior's Foundation Labs. Foundation Labs is Anterior's applied research arm, where “applied” means “shipped.” Shipping research is difficult and involves problems that live in a grey area, somewhere between infrastructure and research. We’re looking for exceptional, high-agency. staff-level research engineers who can perform LLM inference accurately at scale. You’ll work with our infrastructure domain experts to deploy these systems and get your models into production. About the role You'll take applied machine learning from research papers into production You'll work with our senior infrastructure team to optimise these systems for speed, scale, and cost for our enterprise customers You'll drive our efforts to improve our LLM-based system’s performance for our custom domain, including fine-tuning and/or pre-training LLMs, creating efficient agents networks, etc. You'll collaborate closely with product and clinical teams to rapidly prototype and deliver innovative solutions About you We require expertise, not necessarily years of experience, in the following: You've taken research into production before You have proven experience in hosting LLMs in distributed systems You've worked with open source models like Llama/Deepseek You know how to get into the nuts and bolts of PyTorch/Jax You have experience in applied research with a product focus Preferred but not required You have experience building large scale on-line evaluation pipelines You have experience with deploying machine learning models with over 70B parameters or multi-GPU systems What’s in it for you? Our culture is default in-person with flexibility, and we do what's required to help you do your best work from fridges stocked with high-protein meal prep to flexible holiday policies. You’ll also enjoy the following benefits: Health and dental benefits Flexible holiday policy Free office lunch, every day We’re a default in-person culture and will cover your commute