We’re looking for our founding team members of ‘Anterior Labs’. Anterior Labs is our applied research arm, where we believe that “applied” is synonymous with “shipped”. Without benefitting users, research goes unused - this isn’t that kind of team. We ship. Shipping research is difficult and involves problems that live in an grey area somewhere between infrastructure and research. We’re looking for exceptional high agency staff level research engineers who can performing LLM inference accurately at scale. You’ll work with our infrastructure domain experts to deploy these systems to 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 pertaining LLMs, creating efficient agents networks, etc.
You'll collaborate 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 large language models 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 by not required
You have experience building large scale on-line evaluation pipelines
You have experience with deploying machine learning models over 70B parameters or multi-GPU systems
What’s in it for you?
We're a default in person culture with flexibility. If you require a yoga break, then hit the studio. If you require high-protein or pescatarian meals, then we’ll stock the fridge. However you like to work, we see it as our job to facilitate.
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
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