Applied Machine Learning Engineer
Description For Applied Machine Learning Engineer
Fireworks AI, a cutting-edge company backed by top investors like Benchmark and Sequoia, is seeking an Applied Machine Learning Engineer to join their innovative team. The company specializes in generative AI infrastructure and has been independently benchmarked to have the fastest LLM inference.
This role serves as a crucial bridge between AI research and practical applications, focusing on developing, fine-tuning, and operationalizing machine learning models. The position combines hands-on engineering with customer-facing responsibilities, making it ideal for someone who enjoys both technical challenges and client interaction.
The successful candidate will work on various aspects of ML implementation, from building proof of concepts to deploying end-to-end AI-powered applications. They'll collaborate with the GTM team, contribute to the internal ML platform, and work on performance optimizations. The role requires strong Python programming skills and at least 5 years of software engineering experience.
The company offers a competitive salary range of $160,000-$190,000 USD and operates on a hybrid work model. They provide an environment where you can tackle challenging problems at the forefront of AI infrastructure, work with bleeding-edge technology, and have significant ownership and impact. The team consists primarily of veterans from PyTorch and Google Vertex AI, offering excellent opportunities for learning and growth.
Fireworks AI values diversity and maintains an inclusive environment for all innovators. They're looking for someone who can contribute to their mission of building the future of generative AI infrastructure while working alongside world-class engineers and AI researchers. This is an excellent opportunity for a skilled engineer who wants to make a significant impact in the rapidly evolving field of AI technology.
Responsibilities For Applied Machine Learning Engineer
- Collaborate directly with the GTM team to ensure smooth integration and successful deployment of ML solutions
- Build and present compelling PoCs that demonstrate the capabilities of AI technology
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs
- Contribute to the internal ML platform, including adding features and resolving issues
- Integrate and enable new machine learning models into the existing platform
- Improve system performance, efficiency, and scalability of deployed models
- Work closely with partners to enable joint AI solutions
Requirements For Applied Machine Learning Engineer
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 5+ years of experience in a software engineering role
- Robust coding skills required, preferably with proficiency in Python
- Demonstrated ability to lead and execute complex technical projects
- Strong interpersonal and communication skills
- Experience working in a startup or fast-paced environment (preferred)
- Master's degree in Computer Science, Engineering, or related field (preferred)
- Hands-on experience fine-tuning machine learning models (preferred)
- Solid understanding of generative AI, machine learning principles, and enterprise infrastructure (preferred)
Benefits For Applied Machine Learning Engineer
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
- Build What's Next: Work with bleeding-edge technology
- Ownership & Impact: Join a fast-growing, passionate team
- Learn from the Best: Collaborate with world-class engineers and AI researchers
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