Member of Technical Staff, Fireworks AI

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
• 3–5+ years of experience in machine learning, backend infrastructure, or data-intensive systems
• Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Demonstrated experience in one or more of the following areas:
• Speech or audio modeling (ASR, TTS, speech-to-speech)
• Vision or vision-language modeling (captioning, VQA, retrieval, multimodal reasoning)
• Backend or infrastructure engineering for ML workloads (training, inference, optimization, APIs)
• Experience building production-quality systems and collaborating across research and engineering teams
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration tools (Docker, Kubernetes)

Desirable

• We are looking for highly motivated engineers and researchers to join our Multimedia team as Members of Technical Staff
• In this role, you will help advance Fireworks AI’s capabilities across speech, vision, and multimodal systems, from deploying and training models to building the infrastructure that powers real-time, production-ready AI experiences
• We welcome both generalists with broad multimedia expertise and specialists with deeper focus in speech/audio or vision-language modeling
• You will work at the intersection of research and engineering, turning cutting-edge model innovation into high-performance, scalable systems that power Fireworks AI’s next-generation products
• Design, train, and implement machine learning models for speech, vision, or multimodal applications, including ASR, TTS, image understanding, captioning, retrieval, and speech-to-speech systems
• Bring new model capabilities from research to production, ensuring high performance and reliability
• Build and optimize the infrastructure that supports distributed training, fine-tuning, and real-time inference across multimedia workloads
• Profile and address performance bottlenecks across the stack, from preprocessing and model training to deployment and serving
• Write high-quality, maintainable code for both experimentation and production systems
• Evaluate and integrate the latest research to improve model performance, scalability, and efficiency
• Work directly with internal and external stakeholders to define use cases, deliver custom optimizations, and inform the multimedia roadmap
• Contribute to open-source efforts and help shape the future of multimodal AI at Fireworks
• 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