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Qohash

Senior Machine Learning Developer

Qohash

Senior Machine Learning Developer at Qohash building and deploying AI models for data security. Optimize models for on-device inference and own them in production environments.

Posted 6/19/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
Go

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningon-device inferencemodel optimizationperformance monitoringmemory managementmultithreadingGoproduction systemsmodel deploymentmodel iteration
Soft Skills
collaborationcommunicationproblem-solvingstakeholder engagementtrainingtechnical concept explanationmilestone definitiontimelines alignmentanomaly resolutionadaptability
Certifications
bachelor's degreemaster's degreePhD