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Added 19 mins ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…collaborate with development engineers, the cloud & deployment engineer, and external partners to drive architectural decisions and ensure a robust, scalable, and secure product. You will…
Added 19 mins ago
AI
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 19 mins ago
GS
Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Quebec, QC
- Contract
This role combines active testing on AI and Alternate data and automation, mentoring a team of QA engineers.
Added 19 mins ago
TC
GCP Infrastructure & Cloud SRE Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Experience with SRE practices, observability, incident management, and automation.
Added 19 mins ago
M
Full Stack Engineer
mthree
Montreal, QC
- Full-time
Bring ideas on automation and AI tooling to help the team deliver more value
Added 21 mins ago
DevOps Developer, AI Automation
Stay22
Montreal, QC
We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform,…
Added 36 mins ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
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Added 50 mins ago
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Technical Program Manager
Jobility Talent Solutions
Toronto, ON
- Contract
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Added 50 mins ago
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Montreal, QC
- Full-time
We are seeking a skilled and proactive Cloud Platform Engineer to manage, monitor, and optimize our Amazon Web Services (AWS) and Google Cloud Platform (GCP) environments. This role will be…
Added 50 mins ago
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Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Halifax, NS
- Contract
This role combines active testing on AI and Alternate data and automation, mentoring a team of QA engineers.
Added 51 mins ago
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Instrument Operator Technician (6 Month Contract)
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Oakville, ON
- Full-time
…electromechanical prototypes. This is not a passive role; it requires an engineer’s mindset to spot anomalies, a coder’s logic to automate tasks, and a scientist’s rigour regarding data…
Added 1 hour ago
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Technical Consultant I
Worley
Calgary, AB · Edmonton, AB
- Full-time
We are seeking an Instrumentation & Controls Engineer to join our Consulting team in Edmonton or Calgary, Alberta, Canada, or Houston, Texas. This position is ideal for an engineer with 3-8…
Added 3 hours ago
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Application Engineer_ High Content Imaging & Analysis (HCA)
Yokogawa
NB · Chiasson Office, NB
- Full-time
…Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several…
Added 4 hours ago
Software Developer III, Ads Infrastructure
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Waterloo, ON
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 5 hours ago
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Systems Validation Engineer - Data Center GPU
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Markham, ON
- Full-time
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Principal ASIC Design Engineer
Advanced Micro Devices, Inc
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- Full-time
The IOHUB team at AMD is seeking a Principal ASIC Design Engineer to provide technical leadership for the development of next-generation IP that enables AMD products across server, data…
Added 6 hours ago
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Applied AI Software Engineer
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- Full-time
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Added 7 hours ago
Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 7 hours ago
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Sr SDET– Firmware Automation
Lightmatter
Toronto, ON
- Full-time
At Lightmatter, an SDET is a software engineer first , not a QA coordinator or manual tester. You'll design and build the frameworks, harnesses, and hardware-in-the-loop infrastructure that…
Added 9 hours ago
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Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
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- Full-time
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Added 10 hours ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
…enhance network visibility, performance optimization, operational automation and incident resolution. Although this is not primarily a software development role, you will use scripting,…
Added 10 hours ago
Google Cloud Platform (GCP) Data Engineer
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Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 11 hours ago
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Digital Controls Technical Specialist
Trane Technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 11 hours ago
CL
Data Engineer
Codd Labs
Toronto, ON
- Contract
Data Engineer (Contract, LLM Exposure a Plus)
Added 12 hours ago
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Senior Director, Pharmacy Experience and Transformation
Shoppers Drug Mart
Toronto, ON
- Full-time
This role will own the pharmacy AI, technology, automation and optimization agenda, while ensuring that the patient and pharmacy team experience remains at the centre of transformation. The…

Burq, Inc.

Staff Machine Learning / Operations Research Engineer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

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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