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Member of Technical Staff

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Member of Technical Staff in USA

  • Fireworks AI
  • Full time
  • Email
  • San Mateo, CA

Responsibilities

  • Build and present AI technology demonstrations and proofs of concept for customers.
  • Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
  • Add features to the internal ML platform and resolve platform bugs.
  • Integrate and enable new machine learning models on the platform or in customer environments.
  • Improve the performance, efficiency, and scalability of deployed models and applications.
  • Work directly with customers through engagements, proofs of concept, and deployments.

Requirements

  • Master's degree in Computer Science, Engineering, or a related technical field, completed within the last 12 months or expected before the start date.
  • Strong skills working with AI coding harnesses.
  • Practical software engineering experience through internships, research projects, open-source contributions, or substantial personal projects.
  • Hands-on experience building with LLMs or other machine learning models through coursework, projects, or internships.
  • Strong interpersonal and communication skills and interest in direct customer interaction.
  • Comfort with ambiguity and a fast-moving environment.
  • Preferred: experience fine-tuning models using supervised fine-tuning, RLHF, or RFT.
  • Preferred: experience shipping a full-stack or agentic application end to end.
  • Preferred: understanding of generative AI, machine learning principles, and cloud or enterprise infrastructure.
  • Preferred: familiarity with inference serving, evaluation, or RAG systems.

Benefits

  • Mentorship from a senior engineer and a structured ramp-up program.
  • Opportunities to work on cutting-edge AI infrastructure and production model serving.
  • Collaboration with engineers and AI researchers in a fast-moving environment.
  • Ownership and direct impact at a growing Series D company.

Salary: $160k - $180k/yr

Fireworks AI

Fireworks is the fastest way to build, tune, and scale AI on open models. Ship production-ready AI in seconds on our globally distributed cloud infrastructure, optimized for your use case. Fireworks powers production workloads at companies like Uber, Doordash, Notion, and Cursor—delivering 15× fa...

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