Qohash
Senior Machine Learning Developer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJun 21, 2026
Eligible countries6 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
CanadaGermanyIndiaNetherlandsUnited KingdomUSA
Role overview
Senior Machine Learning Developer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Do our values speak to you?
- Pursuit of excellence
- Resilience
- Mission focus
- Accountability
- Embracing conflict
What You Will Do
- 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.
Must Haves
- 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)
Nice to Haves
- 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.
What’s in it for you?
- 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 insuranceShort- and long-term disabilityParamedical and telemedicine servicesHealth Spending Account (HSA)
- Life insurance
- Short- and long-term disability
- Paramedical and telemedicine services
- Health Spending Account (HSA)
Details
- Life insurance
- Short- and long-term disability
- Paramedical and telemedicine services
- Health Spending Account (HSA)
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