Machine Learning Engineer

<p class="p1"><strong>About Interval</strong></p> <p class="p1">Interval helps enterprises turn messy, underused data into governed, high-confidence&nbsp;intelligence—without handing control to a black box. We bring compute to your data with a private&nbsp;data lakehouse, verifiable audit trails, and <strong>U-AI</strong>, our contextual AI framework for secure AI&nbsp;workflows.</p> <p class="p1"><strong>Our platform is built around three outcomes:</strong><br>- Control: Keep ownership of your data and how models use it.<br>- Verify: Audit what happened, why it happened, and where results came from.<br>- Monetize: Create new revenue opportunities through private, permissioned data exchange.&nbsp;</p> <p><strong>The Opportunity</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <p class="p1">We’re looking for a Machine Learning Engineer who’s excited about solving hard&nbsp;technical problems at the intersection of AI, privacy, and distributed systems—and who&nbsp;wants to help reimagine how enterprise data is activated, governed, and monetized.</p> </div> </div> </div> </div> </div> </div> <p><strong>What You’ll Do</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <ul> <li> <p>Develop and deploy models that work with distributed, privacy-preserving enterprise data&nbsp;(structured, unstructured, and time series)</p> </li> <li> <p>Work closely with our AI team on Val, our internal contextual intelligence framework,&nbsp;including NLP, embedding systems, and semantic search</p> </li> <li> <p>Collaborate across product and engineering to build robust ML pipelines for data&nbsp;classification, anomaly detection, semantic inference, and explainability</p> </li> <li> <p>Research and prototype novel applications of machine learning in private and federated&nbsp;contexts, with a focus on enterprise data security</p> </li> <li> <p>Integrate ML systems into a secure infrastructure governed by on-chain access control and data provenance</p> </li> <li>Contribute to internal tools and libraries that help automate model training, evaluation,&nbsp;versioning, and monitoring</li> </ul> </div> </div> </div> </div> </div> </div> <p><strong>What We’re Looking For</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <ul> <li> <p>3–6 years of experience in machine learning, data science, or applied AI roles</p> </li> <li> <p>Strong programming skills in Python, with experience in ML frameworks like PyTorch,TensorFlow, Hugging Face, or similar</p> </li> <li> <p>Demonstrated experience working with real-world datasets—especially enterprise or&nbsp;high-integrity data (e.g., financial, medical, telemetry, etc.)</p> </li> <li> <p>Comfort with data privacy techniques such as differential privacy, federated learning, or&nbsp;homomorphic encryption (or strong interest in learning them)</p> </li> <li> <p>Interest or experience in working with LLMs, embeddings, or knowledge graph-based&nbsp;approaches</p> </li> <li>Familiarity with the basics of smart contracts or blockchain (Solidity, EVM, etc.) is a&nbsp;plus—but not required</li> </ul> </div> </div> </div> </div> </div> </div> <p><strong>Nice to Have</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <div class="page"> <div class="layoutArea"> <div class="column"> <ul> <li> <p>Experience building ML systems in production environments (MLOps, CI/CD for models,&nbsp;data versioning)</p> </li> <li> <p>Familiarity with data governance, compliance, or regulatory environments (e.g., HIPAA,&nbsp;GDPR)</p> </li> <li> <p>Background in knowledge representation, multi-modal learning, or semantic reasoning</p> </li> <li>Prior experience in high-signal industries like real estate, energy, finance, or logistics</li> </ul> </div> </div> </div> </div> </div> </div> <p><br><strong>Why Join Interval?</strong></p> <div class="page"> <div class="layoutArea"> <div class="column"> <ul> <li> <p>Shape the frontier of AI, blockchain, and enterprise data infrastructure.</p> </li> <li> <p>Build tools with real-world impact—help global enterprises activate and monetize their most valuable data assets.</p> </li> <li> <p>Thrive in a sharp, mission-driven team backed by top-tier technical leadership and investors.</p> </li> <li> <p>Enjoy meaningful equity, flexible work, and the autonomy to innovate where data, AI, and privacy meet.</p> </li> </ul> </div> </div> </div>