TL;DR
Tamarind Bio, a YC W24 startup building computational biology tools, is recruiting an infrastructure engineer to expand its ML model inference platform. The full-time SF-based role lists $180K–$250K salary, 0.5–1% equity, and requires on-site presence most weekdays.
What happened
Tamarind Bio posted an opening for an Infrastructure Engineer to lead the expansion of its machine learning inference infrastructure. The hire will be asked to design and maintain systems that serve more than 150 biological ML models, with the objective of increasing capacity by multiple orders of magnitude to handle rising demand. The role emphasizes work with container orchestration (Kubernetes), resource optimization for unpredictable workloads, and ensuring high availability across the model-serving stack. Candidates should bring programming and automation skills plus cloud platform experience (AWS, GCP, or Azure). The company prefers applicants familiar with production scaling, infrastructure-as-code tools like Terraform or Pulumi, monitoring and observability tooling, and GPU workloads. The position is full-time, expected to be located in the San Francisco Bay Area with the team onsite roughly five days a week, and lists eligibility limited to US citizens or holders of appropriate US visas.
Why it matters
- Scaling inference infrastructure is critical for delivering AI-driven drug discovery tools to enterprise and academic users at higher throughput and reliability.
- Addressing unpredictable, model-specific workloads helps convert research models into usable services for scientists who may not handle deployment themselves.
- Hiring experienced infra engineers indicates Tamarind is prioritizing production readiness and operational resilience as usage grows.
Key facts
- Role: Infrastructure Engineer (full-time, Engineering/Backend)
- Salary range: $180,000–$250,000
- Equity: 0.50%–1.00%
- Location: San Francisco, CA (team onsite ~5 days/week); candidates must be in or willing to relocate to the Bay Area
- Visa: US citizen/visa only
- Experience: Any level; new graduates are acceptable
- Primary responsibilities: architect and maintain inference infrastructure for 150+ biological ML models, scale platform capacity, orchestrate containerized workloads
- Technical focus: Kubernetes, containerization concepts, cloud platforms (AWS/GCP/Azure); preferred experience with Terraform/Pulumi, monitoring tools, and GPU workloads
- Company: Tamarind Bio, founded 2023, YC batch W24, team size ~10
- Users: Thousands of scientists across pharma, biotech, and academia use Tamarind’s tools (as stated by the company)
What to watch next
- How the new hire and engineering team adapt orchestration and resource allocation to support growth in model count and unpredictable workloads
- not confirmed in the source
Quick glossary
- Machine learning inference: The process of running a trained model on new data to produce predictions or outputs.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.
- Containerization: Packaging software and its dependencies into isolated units (containers) that run consistently across environments.
- Infrastructure as code (IaC): Managing and provisioning infrastructure through machine-readable configuration files, using tools like Terraform or Pulumi.
- GPU workloads: Computing tasks that leverage graphics processing units for parallel processing, commonly used in machine learning model training and inference.
Reader FAQ
How do I apply?
Apply through the Y Combinator job listing link associated with the position (the posting includes an 'Apply to role' action).
Is remote work allowed?
No; the team expects the hire to be located in the San Francisco Bay Area or able to relocate, with roughly five days a week onsite.
Does Tamarind sponsor work visas?
The posting states 'US citizen/visa only,' so candidates must already have appropriate US work authorization.
What technical skills are required?
Required: programming and automation skills, containerization and orchestration concepts, and cloud platform familiarity (AWS/GCP/Azure). Preferred: Kubernetes, IaC tools, monitoring, and GPU experience.
AboutCompaniesStartup JobsFind a Co-FounderLibrarySAFEResources Apply Tamarind Bio Easy to use computational biology tools for drug discovery Infrastructure Engineer $180K – $250K • 0.50% – 1.00% • San Francisco, CA, US…
Sources
- Tamarind Bio (YC W24) Is Hiring Infrastructure Engineers
- Infrastructure Engineer @ Tamarind Bio
- Forward Deployed Engineer at Tamarind Bio
- Tamarind Bio | Careers
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