Toronto, On Lead python full stack data engineer Jobs – 127 Openings This Week

Machine Learning Engineering Co-op
VCycene Inc. —Markham, ON
- $20–$25 an hour
- Full-time
- Computer Science
- Engineering
- C++
- Flexible schedule
Quick apply
2d
Senior Quality Assurance Manager – QE Automation
Royal Bank of Canada —Toronto, ON
- Full-time
- Java
- APIs
- Leadership
Sr. Software Engineer, Backend
Pinterest —Toronto, ON
- Hybrid work
- Computer science
- Computer Science
- Java

Other jobs to consider

Find your next job by exploring related positions.

Systems Architect
HTS Engineering - Heat Transfer Solutions —Toronto, ON
IT related degree/diploma or Computer Science/Computer Engineering degree. We are seeking an experienced Systems Architect to lead the design, implementation,…
$200,000–$210,000 a year
Quick apply
Software Developer (Contract)
Cyber-Infomax Solutions Inc. —Toronto, ON
Able to identify and coordinate the resolution of technical problems and incidents, conduct research, assess client requirements, lead design projects, and…
$70–$95 an hour
Quick apply
14d

Show more related jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Director of IT
Cottage Dream Vacations —Whitby, ON
Bachelor’s degree in IT, Computer Science, Engineering, or related field. The Director of IT is responsible for the strategic leadership, architecture,…
$100,000–$110,000 a year
3d
Machine Learning Engineering Co-op
VCycene Inc. —Markham, ON
Currently enrolled in a co-op or internship program in Computer Science, Engineering, Mechatronics, Environmental Engineering, or a related field.
$20–$25 an hour
Quick apply
2d

I want to receive the latest job alerts for lead python full stack data engineer in toronto, on

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead python full stack data engineer jobs near toronto, on

Senior Quality Assurance Manager jobs in Toronto, ON

Senior Software Engineer jobs in Toronto, ON

Senior Quality Assurance Manager jobs in Brantford, ON

Food Quality Assurance jobs in Toronto, ON

Senior Quality Assurance Manager jobs in Winnipeg, MB

Food Quality Assurance jobs in Edmonton, AB

Quality Assurance jobs in Calgary, AB

Entry Level Software Engineer jobs in Hamilton, ON

Senior Software Engineer jobs in Hamilton, ON

Junior Software Developer jobs in Victoria, BC

Senior Software Engineer jobs in Winnipeg, MB

Senior Software Engineer jobs in Burnaby, BC

Mechanical Engineer jobs in Vancouver, BC

Machine Learning Engineer jobs in Burlington, ON

Machine Learning Engineer jobs in Alberta

Software Engineer jobs in Winnipeg, MB

Machine Learning Engineer jobs in Air Canada Center, ON

Machine Learning Engineer jobs in Newfoundland And Labrador

Industrial Engineer jobs in Vancouver, BC

Machine Shop Teaching jobs in Ontario

Machine Learning Engineering Co-op

VCycene Inc. -
Markham, ON

Quick apply

Job details

Full-time | Internship / Co-op
$20–$25 an hour
2 days ago

Qualifications

Computer Science
Signal processing
Internet of things
PyTorch
Engineering
NumPy
Pandas
C++
C
REST
GitHub
APIs
Sensors
Python

Full job description

Machine Learning Engineering Co-op

Location

On-site — 3600 Steeles Ave. E., Suite B112, Markham, ON L3R 9Z7 (this role cannot be done remotely)

Term

September 2026 – April 2027 (8-month co-op / internship placement)

Compensation

$20–$25 CAD/hour, based on candidate qualifications

Reports To

Junaid Siddiqui, who leads ML & software development for LILA

Apply

[email protected]

About VCycene

VCycene builds the LILA Mini and LILA Pro, countertop smart composters sold across Canada and the US, and the Lovely companion app that pairs with them. We're a small hardware team, which means the person who trains the model is usually the same person who ran the compost cycle that produced the data. A growing fleet of units in the field generates continuous sensor telemetry that drives the product's core features.

About the Role

You will join our ML team working directly on the models that make LILA work: predicting compost readiness, detecting cycle anomalies, and tuning the device's response to what is actually in the bin.

This is a full-loop role. You will run composting cycles on test units, instrument them, collect and label sensor data, train models against that data, and then evaluate how those models behave on real devices in customers' kitchens. Expect to spend real time at the bench with food waste — the work is hands-on and occasionally smells like it.

What You'll Do

· Run structured composting experiments on LILA test units, varying feedstock, load, and cycle conditions

· Instrument test rigs and collect time-series data from temperature, humidity, gas, weight, and motor-load sensors

· Build and maintain data pipelines that move device telemetry into our training datasets

· Clean, label, and version datasets; identify and correct sensor drift and labeling gaps

· Train, evaluate, and iterate on models for compost readiness estimation and cycle anomaly detection

· Validate model behaviour against fleet data from production devices and flag regressions

· Write internal analysis on model performance and experiment results

· Work with firmware and app engineers to ship model updates to devices and surface results in the Lovely app

Requirements

· Strong Python (pandas, numpy, scikit-learn or PyTorch)

· Familiarity with core ML concepts: training/validation splits, overfitting, evaluation metrics

· Comfortable getting hands dirty — this role involves handling food waste and compost daily

· Able to lift 25 kg (test units and feedstock)

· Experience working with sensors and sensor data, in coursework, research, or personal projects

· Familiar with REST APIs

· Currently enrolled in a co-op or internship program in Computer Science, Engineering, Mechatronics, Environmental Engineering, or a related field

Nice to Have

· Have composted before, at home or otherwise

· Embedded systems experience (C/C++)

· Experience with time-series data or signal processing

· Familiarity with MQTT or other IoT telemetry protocols

· Exposure to any of: FastAPI, Supabase, GCP, GitHub Actions

What You'll Get

· Ownership of a model that ships to real customers, not a sandbox project

· Direct mentorship from Junaid Siddiqui, who leads ML & software development for LILA

· Exposure to the full stack of a hardware product: firmware, telemetry, backend, app, and the physical device

· A small team where your work is visible and your scope is what you make it

How to Apply

Please submit your resume and a brief note on why this role excites you to [email protected], or apply through your school's co-op portal (WaterlooWorks / PEY / York Co-op) or the LinkedIn / Indeed posting. Applications are reviewed on a rolling basis.

VCycene is an equal opportunity employer. If you require accommodation at any stage of the hiring process, please let us know.

Pay: $20.00-$25.00 per hour

Benefits:

Casual dress
Flexible schedule
On-site parking

Work Location: In person

Quick apply

Refine Your Search

lead python full stack data engineer jobs in toronto, on

Machine Learning Engineering Co-op

Senior Quality Assurance Manager – QE Automation

Sr. Software Engineer, Backend

Other jobs to consider

Explore jobs in cities nearby

I want to receive the latest job alerts for lead python full stack data engineer in toronto, on

Related Searches

Explore jobs in more locations

Job seeker tools

Employer Tools

Browse

Stay Connected