Founding Forward Deployed Engineer

Tamarind Bio, Inc

$120K — $160K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong engineering fundamentals (Python preferred)
  • Experience with AI/ML systems or data pipelines
  • Ability to thrive in ambiguous and fast-moving environments
  • Excellent communication skills for both technical and non-technical audiences
  • Willingness to work onsite in San Francisco

Responsibilities

  • Engage directly with customers to identify workflow requirements
  • Implement AI/ML workflows swiftly using Tamarind's platform
  • Deploy models on real datasets, focusing on protein structures and docking
  • Manage pilot projects from scoping to execution and scale
  • Optimize and debug workflows across diverse compute platforms
  • Collaborate with product and engineering for roadmap development
  • Support technical discussions and demonstrations during the sales process

Benefits

  • Opportunity to work at the cutting edge of AI/ML and computational biology
  • Engagement with both scientific and technical stakeholders
  • Direct impact on product developments and customer success
  • Flexibility to iterate quickly based on real-world feedback
  • Exposure to various technologies through diverse project scopes
Full Job Description
Forward Deployed Engineer

About the Role

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.
What You'll Do
  • 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
Ideal Qualifications
  • 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
Technology

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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