Applied Machine Learning Engineer

Fireworks AI operates an AI platform for production inference and training of open-source models.

San Mateo, United States
About Fireworks AI

Fireworks AI provides serverless and dedicated model inference, model deployment, and supervised and reinforcement fine-tuning for developers and enterprises building AI applications.

View jobs by Fireworks AI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will collaborate with go-to-market teams and partners to deploy machine learning solutions. You will build and present proofs of concept, create end-to-end AI applications, improve the ML platform, enable models, and optimize deployed systems.

Requirements

  • Have 5+ years of software engineering experience
  • Demonstrate strong coding skills, preferably in Python
  • Lead and execute complex technical projects focused on customer success
  • Communicate effectively in cross-functional teams
  • Understand generative AI, machine learning principles, and enterprise infrastructure
  • Have experience fine-tuning machine learning models, including SFT and RLHF or RFT

Responsibilities

  • Collaborate with go-to-market teams to deploy machine learning solutions
  • Build and present proofs of concept
  • Design, develop, and deploy AI-powered applications
  • Contribute platform features and resolve bugs
  • Integrate new machine learning models into platforms and client environments
  • Improve deployed model and application performance, efficiency, and scalability
  • Enable joint AI solutions with partners

Benefits

  • Equity
Applied Machine Learning Engineer at Fireworks AI | JobStash