Our Team 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 gray 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 optimize 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 agent 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 online 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 refrigerators stocked with high-protein meal prep to flexible vacation policies.
You'll also enjoy the following benefits:
Health and dental benefits
Flexible vacation policy
Free office lunch, every day
We're a default in-person culture and will cover your commute
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