Applied Machine Learning Engineer Jobs

Fireworks AI

Location:
United States, New York, NY ▼
San Mateo, CA
Redwood City, CA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

170000.00 - 240000.00 USD / Year

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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.

Job Responsibility:

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

Requirements:

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a software engineering role, with a strong preference for customer-facing roles
Robust coding skills required, preferably with proficiency in Python
Demonstrated ability to lead and execute complex technical projects with a focus on customer success
Strong interpersonal and communication skills
ability to thrive in dynamic, cross-functional teams

Nice to have:

Master’s degree in Computer Science, Engineering, or a related technical field
Experience working in a startup or fast-paced environment
Hands-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

What we offer:

meaningful equity in a fast-growing startup
competitive salary
comprehensive benefits package

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Applied Machine Learning Engineer