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Tamarind Bio
San Francisco, California, United States
Source: Tamarind Bio careers · View original posting
From Tamarind Bio's posting. “We” and “our” refer to the employer.
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren’t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
💻About the Role
We’re hiring three exceptional
Founding Software Engineers to help us scale the computational biology platform that powers our drug discovery pipeline.
In this role, you’ll collaborate closely with the founders to design, build, and scale our infrastructure, APIs, and web interface. You’ll own major pieces of our stack end-to-end — from architecture to deployment — and ship features that directly impact scientists and customers.
You’ll be responsible for maintaining and expanding the core systems that underpin our computational biology tooling, ensuring reliability, scalability, and performance as we grow.
This is a deeply collaborative and customer-facing role. You’ll work directly with users to understand their needs, translate feedback into product improvements, and deliver elegant solutions that accelerate their research.
Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch; notebooks; bash/Slurm; APIs & web apps.
Team currently onsite in SF ~5 days/week.
Experience with AI/ML models across various architectures and environments
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We deal with problems ranging from scaling ML inference on AWS for hundreds of GPUs to dissecting pdb files with Biopython. We deploy a wide range of open source ML models for customers, navigating between Docker containers, Colab notebooks, bash scripts, slurm jobs, and more.
🧩 Our Interview Process
We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
1. Recruiter Screen (15–30 minutes)
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Virtual
Meet with our recruiter to dive into your background, interests, and what you’re looking for next. We’ll also walk you through the company, team, and role.
2. Technical Interview (90 minutes)
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Virtual
A conversation with Deniz Kavi (CEO & Co-founder) about product, collaboration, and how you approach building in an early-stage environment.
A live coding and problem-solving session with Sherry Liu (CTO & Co-founder) or a member of our engineering team.
3. Onsite (1 day)
—
San Francisco
Spend a day with us working on a mini project and meeting the team.
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