Founding Software Engineer
Tamarind Bio
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- REST APIsPythonReactDockerAWSPyTorch
- Nice to have
- Machine learning
- Work
- On-site in San Francisco
- Pay
- Not stated by the employer.
- Skill demand
- Python66%REST APIs18%React16%Docker3%of 88 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
We are hiring three Founding Software Engineers to scale the computational biology platform powering our drug discovery pipeline. This role involves close collaboration with founders to design, build, and scale infrastructure, APIs, and a web interface. You will own major parts of the stack end-to-end, from architecture to deployment, and ship features impacting scientists and customers. Responsibilities include maintaining and expanding core systems for computational biology tooling, ensuring reliability, scalability, and performance. This is a collaborative and customer-facing role, requiring direct engagement with users to understand needs, translate feedback into improvements, and deliver solutions.
Key Responsibilities
- Partner with founders on product decisions, scope experiments, and ship quickly.
- Build and operate services (infrastructure, ML, web) and iterate based on customer feedback.
- Mix of coding, design reviews, and practical deployment work.
Requirements & Tech Stack
- Python, React, AWS (EC2, S3, DynamoDB), Docker, CUDA, Conda, TensorFlow/PyTorch.
- Experience with notebooks, bash/Slurm, APIs, and web apps.
- Adaptability and openness to work on diverse problems (e.g., batch HPC scaling, frontend development, automated fine-tuning).
- AWS DevOps (DynamoDB, EC2, S3, docker, etc.) and MLOps (CUDA, Conda, Tensorflow, PyTorch).
- Front-end development (React/Vercel).
- Willingness to learn about biology-ML models.
- Experience with AI/ML models across various architectures and environments is a plus.
Qualifications
- Located in the SF Bay Area or able to relocate to the Bay Area.
- Onsite expectation: Team currently onsite in SF ~5 days/week.
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.