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Staff Machine Learning / Operations Research Engineer

Burq, Inc.
Remote, CAN
Full-time
Senior · 9+ years experience
Remote
Discovered 2 weeks ago
OR-ToolsGurobiCPLEX

Full Job Posting

Requirements

  • Requirements
  • 9+ years in applied ML or ML engineering, including multiple years operating at the senior or staff level, with models shipped to and maintained in production
  • Track record of setting technical direction for ML or optimization systems, where architecture decisions you made shaped a product or platform over multiple years
  • Demonstrated ability to lead complex technical initiatives across teams without direct authority
  • Track record of ML or optimization systems with quantified, company-level business impact (e.g., tens of millions in revenue, or major utilization or margin gains), ideally in pricing, logistics, marketplaces, or operations
  • Deep experience with decision, ranking, and scoring problems where model outputs directly drive a business action
  • Strong quantitative and algorithmic reasoning, including combinatorial problems, constraint satisfaction, and algorithm design
  • Hands-on experience formulating and solving optimization problems (LP/MIP, constraint programming, or VRP-style routing)
  • Experience with time-series forecasting in production
  • Hands-on experience deploying LLM-based systems in production, such as fine-tuned models, extraction pipelines, or agents
  • Experience owning end-to-end ML pipelines and MLOps (training, deployment, monitoring, retraining)
  • Comfortable with messy, incomplete, constraint-heavy operational data, and able to build models that honor hard business constraints rather than treating them as soft penalties
  • Experience building evaluation frameworks that non-technical stakeholders can understand and trust
  • Nice to have
  • Experience with delivery/dispatch software, TMS platforms, or routing systems
  • Production experience with commercial or open-source solvers (OR-Tools, Gurobi, CPLEX)
  • Pricing or revenue management experience in aviation, fleet, or transportation
  • Published work, patents, or open-source contributions in ML, OR, or pricing

Benefits

  • Investing in you 🙏
  • Fully remote
  • Medical, vision, and dental insurance
  • Reimbursement for educational courses
  • Generous time off

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