Staff Engineer at Dayhoff Labs at Jack & Jill/External ATS

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Docker, Terraform, AWS, GCP, React, Cloud Infrastructure, Database Systems, ML Training, API Development, Security Hardening, Deployment Automation, Distributed Systems, Model Serving, GPU Compute Orchestration

Industry

Staffing and Recruiting

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. Staff Engineer at Dayhoff Labs Company Description: Dayhoff Labs - DeepTech AI biology startup backed by DCVC Job Description: Own the technical evolution of a frontier biochemistry search platform. You will architect robust cloud infrastructure, design greenfield database systems for ML training, and transition internal tools into production-ready external services. This generalist role offers massive ownership across the full stack, directly enabling breakthrough research in pharma, energy, and synthetic biology. Why this role is remarkable: Work at the intersection of frontier AI and biology under the leadership of the founder who started DeepMind's AlphaFold project. Enjoy unusual technical breadth, owning everything from Terraform and AWS migrations to React frontends and production-grade ML inference APIs. Join a high-caliber team of experts from CERN, Caltech, MIT, and Google, backed by top-tier venture capital firm DCVC. What you will do: Build and evolve Horizyn-as-a-service into a production-ready product, including API enhancements, security hardening, and deployment automation. Design and implement a scalable database system integrating structured biochemical data from KEGG and UniProt with unstructured experimental results. Manage multi-account AWS cloud infrastructure using Terraform while migrating legacy GCP systems to a unified production environment. The ideal candidate: Has 5+ years of software engineering experience with a proven track record of owning complex distributed systems end-to-end. Possesses deep expertise in Python, Docker containerization, and infrastructure-as-code tools like Terraform within AWS or GCP environments. Brings experience in ML infrastructure, such as model serving, GPU compute orchestration, or building specialized data pipelines for research teams. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI Career Agent 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.

Responsibilities

The role involves owning the technical evolution of a frontier biochemistry search platform, which includes architecting cloud infrastructure and designing database systems for ML training. Responsibilities also cover transitioning internal tools into production-ready external services for pharma, energy, and synthetic biology research.