<div class="content-intro"><h2><strong>About Us:</strong></h2> <p data-start="107" data-end="729">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.</p></div><h2>The Role:</h2> <p>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.</p> <h2>Key Responsibilities:</h2> <ul> <li><strong>Customer Success:</strong> Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions.</li> <li><strong>Demo / Proof of Concept (PoC):</strong> Build and present compelling PoCs that demonstrate the capabilities of our AI technology.</li> <li><strong>Application Build:</strong> Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs.</li> <li><strong>Platform Features / Bug Fixes:</strong> Contribute to the internal ML platform, including adding features and resolving issues.</li> <li><strong>New Model Enablements:</strong> Integrate and enable new machine learning models into the existing platform or client environments.</li> <li><strong>Performance Optimizations:</strong> Improve system performance, efficiency, and scalability of deployed models and applications.</li> <li><strong>Partnership Enablement:</strong> Work closely with partners to enable joint AI solutions and ensure seamless collaboration.</li> </ul> <h2><strong>Minimum Qualifications:</strong></h2> <ul> <li>Bachelor’s degree in Computer Science, Engineering, or a related technical field.</li> <li>5+ years of experience in a software engineering role, with a strong preference for customer-facing roles.</li> <li>Robust coding skills required, preferably with proficiency in Python.</li> <li>Demonstrated ability to lead and execute complex technical projects with a focus on customer success.</li> <li>Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams.</li> </ul> <h2>Preferred Qualifications:</h2> <ul> <li>Master’s degree in Computer Science, Engineering, or a related technical field.</li> <li>Experience working in a startup or fast-paced environment.</li> <li>Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT).</li> <li>Solid understanding of generative AI, machine learning principles, and enterprise infrastructure.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.</p></div><div class="title">Base Pay Range (Plus Equity)</div><div class="pay-range"><span>$170,000</span><span class="divider">—</span><span>$240,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Why Fireworks AI?</strong></h2> <ul> <li>Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.</li> <li>Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.</li> <li>Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.</li> <li>Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.</li> </ul> <p><em>Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.</em></p></div>