AI Researcher at Frontier Biology AI Lab

Qualifications

• Proven experience training, optimizing, and deploying large-scale foundation models (7B+ parameters) using PyTorch or JAX
• Deep expertise in low-level optimization including CUDA, Triton, quantization, and hardware-specific tuning for GPUs or TPUs
• Strong track record of solving hard technical problems and communicating complex approaches in collaborative research environments

Responsibilities

• She will pick the best candidates from Jack's network
• Job Description: You will design, implement, and scale foundational AI models for multi-omics at massive scale
• This role bridges the gap between state-of-the-art machine learning and transformative clinical outcomes
• Working in a multidisciplinary team, you will build robust experimentation pipelines and optimize high-performance algorithms to decode complex biological systems and protect human health
• Work at the intersection of frontier AI and biology to tackle massive challenges such as neurological disease
• High-impact opportunity to build foundation models from scratch using proprietary, large-scale biological datasets
• Implement and optimize high-performance ML algorithms for massive-scale training and reliable distributed computing
• Design and maintain robust experimentation pipelines to enable rapid iteration and reproducible research outcomes
• Refactor prototype research code into production-grade repositories with a focus on high-signal experimental design

Full Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network

The next step is to speak to Jack.

AI Researcher

Company Description: A frontier biology AI research lab applying state-of-the-art machine learning to large-scale biological data to unlock breakthroughs in human health and disease.

The lab is wellfunded, mission-driven, and brings together world-class researchers across AI, biology, and medicine.

Job Description: You will design, implement, and scale foundational AI models for multi-omics at massive scale.

This role bridges the gap between state-of-the-art machine learning and transformative clinical outcomes.

Working in a multidisciplinary team, you will build robust experimentation pipelines and optimize high-performance algorithms to decode complex biological systems and protect human health.

Location: San Francisco, USA and London, UK

Why this role is remarkable:

• Work at the intersection of frontier AI and biology to tackle massive challenges such as neurological disease

• Join a well-funded research lab backed by top-tier VCs with a flat, mission-driven culture

• High-impact opportunity to build foundation models from scratch using proprietary, large-scale biological datasets

What you will do:

• Implement and optimize high-performance ML algorithms for massive-scale training and reliable distributed computing

• Design and maintain robust experimentation pipelines to enable rapid iteration and reproducible research outcomes

• Refactor prototype research code into production-grade repositories with a focus on high-signal experimental design

The ideal candidate:

• Proven experience training, optimizing, and deploying large-scale foundation models (7B+ parameters) using PyTorch or JAX

• Deep expertise in low-level optimization including CUDA, Triton, quantization, and hardware-specific tuning for GPUs or TPUs

• Strong track record of solving hard technical problems and communicating complex approaches in collaborative research environments

Who are Jack & Jill?

Ok, I'll go first.

I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.

Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire.

Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps

Step 1.

Visit our website.

Step 2.

Click 'Talk to Jack'.

Step 3.

Talk to Jack so he can understand your experience and ambitions.

Step 4.

Jack will make sure Jill (the AI agent working for the company) considers you for this role.

Step 5.

If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.

Step 6.

If not, Jack will find you excellent alternatives.

All for free.

We never post fake jobs

This isn't a trick.

This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin!

You could land this role.

If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.