Fireworks AI
Applied Machine Learning Engineer
New York, NY; San Mateo, CA
Sponsorship not specified$170k-$240kDetected 47 days ago
Machine LearningPyTorchLLMsCustomer SuccessResearchCommunication
About the role
- As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications.
Responsibilities
- 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.
- Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration.
- Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.
- Build and present compelling PoCs that demonstrate the capabilities of our AI technology.
- Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.
- Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
- Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
- Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
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.
- 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.
- Why Fireworks AI?
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results.
- Fireworks AI is an equal-opportunity employer.
- We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Compensation
- $170,000 - $240,000 USD
Benefits
- New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments.
- Range (Plus Equity)
Company info
- At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
- The Role:
- 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.
- At Fireworks, we're building the future of generative AI infrastructure.
- Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry.
- We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models.
- Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic.
- We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.
- 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.
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This listing is sourced directly from Fireworks AI's careers page and normalized into a canonical job model.