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# Forward Deployed Engineer

- **Company:** Tamarind Bio Inc.
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computational Biology, Software Debugging, DevOps, Python (Programming Language), Machine Learning, Machine Learning Operations, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/founding-forward-deployed-engineer-tamarind-bio-8134041

## About the Role

* Strong engineering fundamentals (Python preferred)
 * Experience working with AI/ML systems or data pipelines
 * Ability to operate in ambiguous, fast-moving environments
 * Strong communication skills - able to interface with both technical and non-technical stakeholders
 * Willingness to work onsite in San Francisco

## Description

We're hiring a Forward Deployed Engineer - one of the highest-leverage roles on the team. You'll sit at the intersection of engineering, product, and customers - working directly with scientists, ML teams, and pharma stakeholders to deploy Tamarind into real-world workflows. This role owns the full arc: from first technical conversation * pilot * production deployment. Every deployment becomes a product signal, a reference customer, and a revenue driver. The customer relationship moves at the speed you move., * Work directly with customers (scientists, ML teams, pharma orgs) to understand workflows and translate needs into deployable solutions

 * Stand up AI/ML workflows using Tamarind's platform - often within days of initial engagement
 * Configure and deploy models (e.g. protein structure, docking, generative models) against real datasets
 * Own pilots end-to-end - from scoping to execution to expansion
 * Debug, adapt, and optimize workflows across compute, models, and data pipelines
 * Partner with product and engineering to turn customer feedback into roadmap inputs
 * Support technical discussions, demos, and deployments across the sales cycle

Week in the Life

 * Join customer calls to scope scientific workflows
 * Deploy and test models on real customer datasets
 * Work across infrastructure, APIs, and ML systems to ensure performance
 * Iterate quickly based on feedback from scientists
 * Translate field learnings into product improvements, Tamarind operates at the intersection of DevOps, MLOps, and Computational Biology. You'll work across:
 * ML models (protein design, structure prediction, docking)
 * GPU-based compute infrastructure
 * APIs, workflows, and orchestration layers
 * Scientific datasets and research pipelines


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