about 2 hours ago
Remote, WorldwideSenior
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.
Requirements
- 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 is a strong asset for this role.
- Experience with high-performance, low-resource systems programming, ideally in Go or an adjacent systems language.
- Bilingual (French and English) is a plus.
- Experience working in a startup environment is preferred.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field is a plus.
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, and a Health Spending Account (HSA).