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Fireworks AI

Applied Machine Learning Engineer, EMEA

Fireworks AI
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18 days ago
London, United KingdomSenior
H1B Sponsor

Responsibilities

  • Collaborate with account executives, solutions architects, and the broader go-to-market team to integrate and deploy machine learning solutions successfully.
  • Build and present demonstrations and proofs of concept for Fireworks AI technology.
  • 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 and client environments.
  • Optimize the performance, efficiency, and scalability of deployed models and applications.
  • Work with partners to enable joint AI solutions and ensure 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 including Python proficiency.
  • Ability to lead and execute complex technical projects focused on customer success.
  • Strong interpersonal and communication skills in dynamic, cross-functional teams.
  • A 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 with 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

  • Opportunity to solve challenging AI infrastructure problems, including low-latency inference and scalable model serving.
  • Work with bleeding-edge technology affecting how businesses and developers use AI globally.
  • High ownership and direct impact in a fast-growing team with minimal bureaucracy.
  • Collaboration with world-class engineers and AI researchers.
  • Equal-opportunity and inclusive work environment.

Tech Stack

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