Senior Machine Learning Developer

Role Description

Qohash is building the zero copy data security control layer, enterprises need to adopt AI safely. 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.

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.

About the team: We are standing up a new team for the QSIDS (Qohash Sensitive Information Detection System) launch, dedicated to the detection engine. A central focus of this team is the integration of embedded AI, machine learning models that run directly on the device and in-system. It is about high-performance, low-resource, on-device inference, embedded into the detection engine itself. The engine is built in Go, with a strong emphasis on performance and minimal resource footprint.

Who you are: 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.

Qualifications

• 7+ years' experience building and shipping machine learning models to production.
• Hands-on track record owning models post-deployment: monitoring performance, detecting drift, and iterating on production systems.
• A bachelor's or master's degree in computer science, engineering, or a related field (or equivalent professional experience).

Requirements

• Experience embedding ML models for on-device inference (a strong asset for this role).
• Experience with high-performance, low-resource systems programming (memory management, multithreading, optimization), ideally in Go or an adjacent systems language.
• Bilingual (French and English).
• Experience working in a startup environment.
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

Benefits

• Competitive salary range.
• Enjoy up to six weeks of paid time off annually, because we value your work-life balance.
• Comprehensive health benefits, including:
• Life insurance.
• Short- and long-term disability.
• Paramedical and telemedicine services.
• Health Spending Account (HSA).