Senior Machine Learning Developer

<p>Qohash is building the zero copy data security control layer, enterprises need to adopt AI safely.</p> <p>Our platform, Qostodian, helps large organizations discover, classify, govern, and remediate sensitive unstructured data across their most critical data sources without moving or copying the data. This zero copy architecture reduces exposure, preserves data sovereignty, and allows enterprises to secure data directly where it lives.</p> <p>This matters because AI adoption is increasing the risk, complexity, and urgency of enterprise data security. Before organizations can safely deploy AI agents, copilots, retrieval systems, or automated workflows, they need to know where sensitive data lives, who and what can access it, and how to enforce controls at scale.</p> <h2>Company culture is at our core</h2> <p>Our 5 core values are more than just words, they are a way of life for us. We know that companies with a strong culture and a higher purpose perform better in the long run.</p> <p>Do our values speak to you?</p> <ul> <li><strong>Pursuit of excellence</strong></li> <li><strong>Resilience</strong></li> <li><strong>Mission focus</strong></li> <li><strong>Accountability</strong></li> <li><strong>Embracing conflict</strong></li> </ul> <h2>About the team</h2> <p>We are standing up a new team for the QSIDS (Qohash Sensitive Information Detection System) launch, dedicated to the <strong>detection engine</strong>. A central focus of this team is the integration of <strong>embedded AI</strong>, machine learning models that run <strong>directly on the device</strong> and in-system. It is about high-performance, low-resource, on-device inference, embedded into the detection engine itself. The engine is built in <strong>Go</strong>, with a strong emphasis on performance and minimal resource footprint.</p> <h2>Who you are</h2> <p>You're a hands-on machine learning developer who's energized by getting models out of the notebook and into the real world, shipped, running, and holding up under production conditions. You take pride in owning what you build: watching how your models behave once deployed and iterating to keep them sharp. You bring strong engineering fundamentals and collaborate naturally, helping the team converge on quality decisions. You're comfortable with the pace and ambiguity of a startup, and you care about the outcome, not just the code.</p> <h2>What You Will Do</h2> <ul> <li><strong>Build</strong>, optimize, and embed machine learning models for on-device inference within the QSIDS detection engine.</li> <li><strong>Optimize</strong> models for performance and resource constraints, minimizing memory footprint, latency, and compute on-device.</li> <li><strong>Collaborate</strong> closely with systems engineers to integrate models efficiently into a Go-based engine.</li> <li>Take models all the way to production and own them once they're running, monitoring performance, detecting drift, and iterating to keep them reliable.</li> <li>Collaborate with stakeholders to define milestones and ensure timelines align with development needs.</li> <li>Participate in discussions on technological choices and decisions regarding product development.</li> <li><strong>Resolve</strong> anomalies and problems as soon as they arise.</li> <li>Stay on the lookout for the latest ML and other technologies and best practices - but <strong>resist </strong>novelty chasing.</li> <li>Help onboard and train colleagues as the team grows.</li> <li>Effectively communicate technical concepts to both technical and non-technical stakeholders.</li> </ul> <h2>What Your Resume Shows</h2> <p><strong>Must Haves</strong></p> <ul> <li>7+ years' experience <strong>building</strong> and <strong>shipping machine learning models to production</strong>- including <strong>deploying, running, and monitoring</strong> them in live environments</li> <li>Hands-on track record <strong>owning models</strong> post-deployment: <strong>monitoring performance, detecting drift, and iterating</strong> on production systems</li> <li>A bachelor's or master's degree in computer science, engineering, or a related field (or equivalent professional experience)</li> </ul> <p><strong>Nice to Haves</strong></p> <ul> <li>Experience embedding ML models for <strong>on-device inference</strong> <em>(a strong asset for this role)</em></li> <li>Experience with <strong>high-performance, low-resource </strong>systems programming (memory management, multithreading, optimization), <strong>ideally in Go </strong>or an adjacent systems language</li> <li>Bilingual (French and English)</li> <li style="font-weight: bold;"><strong>Experience working in a startup environment</strong></li> <li>Master’s degree or PhD in Engineering, Computer Science, or a related technical field.</li> </ul> <p>&nbsp;</p> <h2>What’s in it for you?</h2> <ul> <li>Competitive salary range.</li> <li>Enjoy up to <strong>six weeks of paid time off annually, </strong>because we value your work-life balance.</li> <li>Comprehensive <strong>health benefits</strong>, including: <ul> <li>Life insurance</li> <li>Short- and long-term disability</li> <li>Paramedical and telemedicine services</li> <li>Health Spending Account (HSA)</li> </ul> </li> </ul> <p>&nbsp;</p> <p>Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company's operational requirements. Only those candidates selected for interview will be contacted.</p>