Note: The job is a remote job and is open to candidates in USA. Qohash is building a zero copy data security control layer to help enterprises adopt AI safely. They are seeking a Senior Machine Learning Developer to build, optimize, and embed machine learning models for on-device inference within their QSIDS detection engine, ensuring high performance and reliability in production environments.

Responsibilities

• Build, optimize, and embed machine learning models for on-device inference within the QSIDS detection engine
• Optimize models for performance and resource constraints, minimizing memory footprint, latency, and compute on-device
• Collaborate closely with systems engineers to integrate models efficiently into a Go-based engine
• Take models all the way to production and own them once they're running, monitoring performance, detecting drift, and iterating to keep them reliable
• Collaborate with stakeholders to define milestones and ensure timelines align with development needs
• Participate in discussions on technological choices and decisions regarding product development
• Resolve anomalies and problems as soon as they arise
• Stay on the lookout for the latest ML and other technologies and best practices - but resist novelty chasing
• Help onboard and train colleagues as the team grows
• Effectively communicate technical concepts to both technical and non-technical stakeholders

Skills

• 7+ years' experience building and shipping machine learning models to production- including deploying, running, and monitoring them in live environments
• 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)
• 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)

Company Overview