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Added 1 hour ago
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Sr Tech Sales Engineer Rep (LETS)
Lenovo
Markham, ON
- $105,000 to $161,000 CAD / year
The Lenovo Expert Technical Sales (LETS) Senior Technology Sales Engineer Representative is an experienced inside technical sales professional responsible for supporting Lenovo's Data…
Added 1 hour ago
Business Intelligence Engineer, IT PnD Data & Analytics (DnA)
Amazon
Vancouver, BC
NOTE: By applying to this position, your application may be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not…
Added 4 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
…ServiceNow platform. In this role, you will bridge the gap between business strategy and technical execution, defining the architectural roadmap across ITSM, ITOM, CSM, HRSD, or custom…
Added 4 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 4 hours ago
HT
Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
Added 4 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 4 hours ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 5 hours ago
R&
Systems Engineer, Electronic Warfare & Spectrum Monitoring - Canada
Rohde & Schwarz
Toronto, ON
- Full-time
…in 2026, Rohde & Schwarz is seeking an experienced Systems Engineer to support and grow our Electronic Warfare (EW), Spectrum Monitoring, and ISR system business within the Canadian Armed…
Added 5 hours ago
R&
Systems Engineer, Electronic Warfare & Spectrum Monitoring - Canada
Rohde & Schwarz
Ottawa, ON · Kanata, ON
- Full-time
…in 2026, Rohde & Schwarz is seeking an experienced Systems Engineer to support and grow our Electronic Warfare (EW), Spectrum Monitoring, and ISR system business within the Canadian Armed…
Added 5 hours ago
R&
Systems Engineer, Electronic Warfare & Spectrum Monitoring - Canada
Rohde & Schwarz
Ottawa, ON
- Full-time
…in 2026, Rohde & Schwarz is seeking an experienced Systems Engineer to support and grow our Electronic Warfare (EW), Spectrum Monitoring, and ISR system business within the Canadian Armed…
Added 6 hours ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Collaborate with engineering, product, program management, QA, operations, and business stakeholders to translate requirements into reliable technical solutions.
Added 6 hours ago
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AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 10 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 10 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 11 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…one earns, how they integrate with systems of record and real business processes, and how anyone will know they are working. Answering those questions well, and writing the answers down so…
Added 13 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
…the squad, working closely with Product Directors to drive business…
Added 15 hours ago
OI
Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our…
Added 15 hours ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 16 hours ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
…people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to…
Added 17 hours ago
A
Mining and Industrial Water Treatment Engineer
AECOM
AB · Edmonton, AB
- $115,000 to $180,000 CAD / year
- Full-time
AECOM is seeking a Mining and Industrial Water Treatment Engineer to provide technical leadership in the design and upgrading of water treatment infrastructure for mining and industrial…
Added 17 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 17 hours ago
C
QA SDET – Spécialiste Automatisation & AI
CGI
Sherbrooke, QC
- Full-time
Come join our team - one of the largest IT and business consulting services firms in the world.
Added 20 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 20 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and…
Added 21 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
Strong communication, emotional intelligence, and business empathy in executive-facing situations

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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