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Fireworks AI

Applied Machine Learning Engineer

Fireworks AI
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over 1 year ago
San Mateo, CA, USA or New York, NY, USASenior
H1B Sponsor

Base Salary

$170k - $240k/yr

Responsibilities

  • Collaborate with account executives and solutions architects to integrate and deploy machine learning solutions successfully.
  • Build and present customer demonstrations and proofs of concept.
  • Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
  • Add features and resolve bugs in the internal machine learning platform.
  • Integrate and enable new machine learning models in the platform or customer environments.
  • Optimize the performance, efficiency, and scalability of deployed models and applications.
  • Work with partners to enable joint AI solutions and support seamless collaboration.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • At least five years of software engineering experience, preferably in customer-facing roles.
  • Strong coding skills, preferably with Python proficiency.
  • Ability to lead and execute complex technical projects focused on customer success.
  • Strong interpersonal and communication skills for working in dynamic, cross-functional teams.
  • Master’s degree in Computer Science, Engineering, or a related technical field is preferred.
  • Startup or fast-paced environment experience is preferred.
  • Hands-on experience fine-tuning machine learning models, including supervised fine-tuning and reinforcement learning from human feedback or reinforcement fine-tuning, is preferred.
  • Understanding of generative AI, machine learning principles, and enterprise infrastructure is preferred.

Benefits

  • Work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
  • Collaborate with world-class engineers and AI researchers.
  • High ownership and direct impact in a fast-growing environment with minimal bureaucracy.
  • Inclusive, equal-opportunity workplace.
  • Fast-paced startup environment.

Tech Stack

Categories