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Forward Deployed Engineer, Tinker

350k – 475kSan Francisco, CASolutions ArchitectureOnsiteEntry level
Summary

Forward Deployed Engineer triages and resolves customer issues for AI fine-tuning platform Tinker, builds tools and automation, writes documentation, and influences product roadmap based on direct customer feedback. Requires experience with LLM fine-tuning, debugging distributed systems, and backend languages like Python or Rust.

About the role

What You’ll Do

  • Triage and resolve customer issues across the full stack, reading logs, reproducing failures, and tracing job execution.
  • Build tools, integrations, and automation that eliminate recurring failure modes and reduce time-to-resolution for users.
  • Write and maintain high-quality documentation and cookbook recipes, grounded in real issues and implementations from our users.
  • Partner closely with research and infrastructure teams to translate customer pain into prioritized engineering work.
  • Inform Tinker's product roadmap based on what you learn from working directly with customers every day.

Skills and Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent experience in computer science, engineering, or similar.
  • Experience fine-tuning large language models with supervised and reinforcement learning methods.
  • Experience debugging distributed systems and training infrastructure: reading logs, tracing job failures, diagnosing GPU, networking, or scheduling issues.
  • Proficiency in at least one backend language (we use Python and Rust).

Preferred qualifications:

  • 5+ years of software engineering experience, including work in customer-facing or deployment roles.
  • Building or shipping a product end-to-end — a startup, an open-source project, or an internal tool you owned from idea to users.
  • Published technical tutorials, recipes, or documentation that helped others get unstuck.
  • Experience at a developer tools, API-first, or ML platform company.
  • Familiarity with hyperparameter tuning for LLM training algorithms.
  • Contributions to open-source ML or infrastructure projects.

Compensation

Expected annual salary range: $350,000 - $475,000 USD.

Benefits

Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills
PythonRustLarge Language ModelsFine-tuningSupervised LearningReinforcement LearningDistributed SystemsGPUNetworkingHyperparameter Tuning
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