Member of Technical Staff, Fireworks AI

• BS/MS in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience, open to all levels of experiences
• Strong experience with PyTorch and modern Transformer architectures
• Solid computer science fundamentals: data structures, algorithms, concurrency, distributed systems, networking
• Hands-on experience training, fine-tuning, or evaluating machine learning models, preferably LLMs
• Familiarity with recent developments in the LLM research domain, including model architectures, training methods, and evaluation strategies
• Passion for partnering with customers: understanding their constraints, co-designing solutions, and iterating based on real-world feedback
• Curiosity and enthusiasm for exploring a wide range of problem domains and project types - from quick experiments to long-running, complex engagements
• Ability to operate in a fast-paced, ambiguous environment and drive projects independently
• Deep understanding of tuning techniques (SFT, DPO, RL) and the underlying mathematical principles

Desirable

• The Applied Researcher role is designed for engineers who love working across ML, systems, and real-world products, and thrive on working directly with customers to bring advanced models into production
• As an Applied Researcher, you will sit at the intersection of ML research, systems engineering, and customer-facing problem solving
• You’ll work hands-on with customers and customer data to tune, evaluate and deploy models using various techniques such as SFT / DPO / RL, to help customers build competitive models using their unique data tailored to their unique products
• You will be the technical bridge between customer needs, customer data, and our tuning and serving infrastructure, helping shape the future of applied AI
• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving
• Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
• Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
• Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation