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Added 6 mins ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 36 mins ago
EN
Senior Forward Deployed Engineer (10570) Toronto, Canada
Extreme Networks
Toronto, ON
- Full-time
Title of position: Senior Forward Deployed Engineer
Added 1 hour ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
…division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance, Testing Frameworks, Backend Frameworks, Mobile Frameworks, and SRE.…
Added 1 hour ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Google Cloud Professional Machine Learning Engineer
Added 1 hour ago
Q
ML Architect
Quantiphi
Canada
- Full-time
As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business…
Added 1 hour ago
AI
Lead React Native Engineer
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 3 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 3 hours ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 3 hours ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Strong understanding of microservices, APIs, cloud-native architecture, scalability, resiliency, and security
Added 3 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 3 hours ago
E
Full Stack Engineer, SE3
eBay
Toronto, ON
- Full-time
We are seeking a Full Stack Engineer with to help redefine and elevate the Goldin platform. In this role, you’ll work across the stack, collaborating with high-velocity teams to design,…
Added 4 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Experience with CI/CD tools and cloud-native development practices
Added 4 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 4 hours ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 4 hours ago
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Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are building a highly secure and scalable cloud-native platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical…
Added 4 hours ago
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Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 4 hours ago
ET
AWS SageMaker / Machine Learning Engineer
Envision Technology Solutions
Toronto, ON
- Contract
Experience with CI/CD tools and cloud-native development practices
Added 4 hours ago
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Full Stack Engineer
mthree
Montreal, QC
- Full-time
Apply AI-native development practices to speed up delivery and improve quality
Added 5 hours ago
Senior Software Engineer, OIG
Okta
Toronto, ON
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 5 hours ago
O
Senior Software Engineer, OIG
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Okta Identity Governance (OIG) organization is looking for a Senior Engineer to join our team - OIG is Okta’s Identity Governance and Administration solution that is directly responsible…
Added 12 hours ago
Mission Manager, National Security, Mandiant
Google
Ottawa, ON
Relevant industry certifications (e.g., CISSP, CCSP, Google Cloud Certified Professional Cloud Security Engineer, or equivalent).
Added 14 hours ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Leverage and contribute to relevant open-source cloud native projects.
Added 17 hours ago
M
Innovative Data Platform Solution Engineer
Microsoft
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…so, we invite you to join our team as a Cloud & AI Solution Engineer in Innovative Data Platform for commercial customers at Microsoft. Here, you'll be at the forefront of innovation,…
Added 18 hours ago
L
Forward Deployed Engineer
Leyton
Vancouver, BC · Greater Vancouver, BC
- €30,000 to €50,000 EUR / year
- Full-time
At Leyton, innovation goes beyond consulting. We are building the future of enterprise software through Mainloop, our AI-native engineering organization based in Barcelona.
Added 18 hours ago
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Civil Utility - Heavy Equipment Operator
CapWest Build
Vancouver, BC
- Full-time
Operate excavators to strip material from native ground, stockpile efficiently and with proper slopes, excavate ditches, load material into haul trucks, receive material from haul trucks…

Burq, Inc.

Staff Machine Learning / Operations Research Engineer

Remote, Canada

Remote

Full-time

Apply About employer

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Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 7, 2026

Original job description

About Burq

We're revolutionizing commerce from port to doorstep with Burq Intelligence.

Burq started with an ambitious mission: to turn the complex process of offering delivery into a simple, turnkey solution. It's a big mission, and now we want you to join us in making it even bigger.

We're proud to be recognized as one of Fast Company's Best Workplaces for Innovators and a 2025 Inc. Magazine Power Partner, awards that highlight how we're redefining the future of logistics while empowering our partners to grow.

Backed by leading Silicon Valley investors like Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely, we've built a world-class team across the globe.

We operate at scale but remain small enough for every person to have a massive impact. There's a lot of important work ahead, and joining Burq means the opportunity to grow faster than ever while doing the most meaningful work of your career.

The role

We're hiring a Staff ML/OR engineer to define and build the intelligence at the core of Dispatch OS, our platform for ML-assisted dispatch decisions. You'll set the technical direction for how Burq prices, selects, forecasts, and routes deliveries, and you'll personally build the highest-leverage models and optimization systems behind it.

You'll own the architecture and roadmap for ML and optimization across the platform, make the key technical bets, and raise the bar for how we build, evaluate, and ship models. This is a hands-on IC role with company-level impact on revenue, margin, and delivery reliability.

What you'll do

Technical leadership

Technical direction: own the ML and optimization roadmap for Dispatch OS, deciding which problems get ML, which get solvers, which stay heuristic, and in what order
Architecture: design the end-to-end architecture for model serving, evaluation, and optimization so it scales with order volume, new providers, and new customers
Hardest problems: lead the most ambiguous, high-stakes modeling and optimization problems from framing through production, and guide technical work across Engineering and Data
Raise the bar: set standards for experimentation, evaluation, and production ML, and mentor engineers through design reviews, pairing, and code review
Strategic partnership: work with Product and leadership to shape product strategy and identify where ML and OR create competitive advantage

Core systems

Quote selection and pricing: design and ship models for quote selection, dynamic pricing, and reliability scoring that measurably improve margin, win rate, and conversion
Forecasting: build demand and volume forecasting models, including modern deep learning approaches where they outperform classical methods, to - help operations and customers plan driver and fleet capacity
Optimization: move dispatch decisions from heuristics to solver-based optimization for batching, route optimization, and vehicle/fleet recommendation, using OR-Tools, Gurobi, or similar where it earns its keep
LLMs and agents: apply LLMs and AI agents to dispatch workflows, such as extracting provider rules and rate terms from documents, and automating quote follow-ups and exception handling
Evaluation and trust: build rigorous, replayable evaluation frameworks that let customers verify a model's performance against their own historical decisions before they trust it to act
Constraint translation: turn real operational constraints (driver availability, provider rules, cost ceilings) into model requirements, scoring logic, and optimization formulations
MLOps: design and own automated pipelines for training, deployment, and monitoring so models stay accurate in production at scale
AI-native work: use AI tools daily to speed up experimentation, automate eval pipelines, and debug faster

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

Investing in you 🙏

Fully remote
Medical, vision, and dental insurance
Reimbursement for educational courses
Generous time off

Apply About employer

More about this job

Responsibilities

You will define and build the intelligence for the Dispatch OS platform, setting the technical direction for pricing, forecasting, and routing. This role involves leading high-stakes modeling initiatives and establishing standards for experimentation, evaluation, and production ML systems.

Requirements

The role requires 9+ years of experience in applied ML or ML engineering, with a proven track record of operating at a senior or staff level. Candidates must demonstrate deep expertise in optimization, decision systems, and deploying scalable ML pipelines in production environments.

Skills

Machine learning
Operations research
Technical leadership
Optimization
System architecture
Pricing models
Logistics
Forecasting
Deep learning
LLMs
AI agents
MLOps
Constraint satisfaction
Algorithm design
Data analysis
Mentorship

Benefits

Fully remote
Medical insurance
Vision insurance
Dental insurance
Educational course reimbursement
Generous time off

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Operations Research
Dispatch OS
Logistics
Pricing
Forecasting
Deep Learning
OR-Tools
Gurobi
LLMs
AI Agents
MLOps
Constraint Programming
VRP
LP/MIP
Time-series forecasting
Architecture
Data Engineering
Software Engineering
Marketplaces
Scalability
Evaluation Frameworks
Automation
Mentoring
Strategy
Product Development
Reliability Scoring
Batching
Route Optimization
Deployment

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