Applied Machine Learning Engineer

Fireworks AI; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Fireworks AI is seeking an Applied Machine Learning Engineer to bridge cutting-edge research and practical applications. You will build, fine-tune, and operate ML models that deliver real business value and better user experiences.

You will collaborate with GTM teams, build compelling PoCs, design end-to-end AI-powered applications, and contribute to the ML platform with new model integrations and performance improvements.

Qualifications

• 5+ years in a software engineering role with customer-facing experience.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Master’s degree in Computer Science, Engineering, or related field preferred.
• Hands-on ML model fine-tuning, including SFT and RLHF/RFT.
• Strong Python coding skills.
• Solid understanding of generative AI and enterprise infrastructure.

Responsibilities

• Bridge AI research and real-world applications.
• Develop, fine-tune, and operationalize ML models.
• Collaborate with GTM team to deploy ML solutions.
• Build PoCs and AI-powered applications for customers.
• Improve ML platform features and resolve issues.
• Integrate new models into platforms or client environments.
• Optimize performance, efficiency, and scalability of models.
• Enable partnerships for joint AI solutions.

Skills

Customer facing

Strong communication

Team leadership

Python programming

Cross-functional collaboration

Education

Bachelor’s degree in CS/Engineering

Master’s degree in CS/Engineering

Tools

Python

Job description

• As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting‑edge AI research and practical, real‑world applications
• Your work will focus on developing, fine‑tuning, and operationalizing machine learning models that drive business value and enhance user experiences
• This is a hands‑on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions
• Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions
• Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology
• Application Build: Design, develop, and deploy end‑to‑end AI‑powered applications tailored to customer needs
• Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues
• New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments
• Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications
• Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration

5+ years of experience in a software engineering role, with a strong preference for customer-facing rolesStrong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teamsBachelor’s degree in Computer Science, Engineering, or a related technical fieldRobust coding skills required, preferably with proficiency in PythonDemonstrated ability to lead and execute complex technical projects with a focus on customer successMaster’s degree in Computer Science, Engineering, or a related technical fieldExperience working in a startup or fast‑paced environmentHands‑on experience fine‑tuning machine learning models, including supervised fine‑tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT)Solid understanding of generative AI, machine learning principles, and enterprise infrastructure