Forward Deployed Engineer
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Role details
Tech stack
Job 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
Requirements
- 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
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