Caledon, On New grad Jobs – 135 Openings This Week

Technical Co-founder (New Grad) (Robotics)
Zleni Robotics —Caledon, ON
- $1 a year
- Full-time
- Hybrid work
- Research
- Machine learning
- Recruiting
- Profit sharing
- Work from home
Quick apply
3d
NEW GRAD - Operations Leadership Trainee
Combined Metal Industries —Ontario
- $55,000–$70,000 a year
- Full-time
- Continuous improvement
- Business
- Leadership
Quick apply
11d
Occupational Therapist
FunctionAbility Rehabilitation Services —Ontario
- $45–$70 an hour
- Full-time
- Master's degree
- Bachelor's
- Patient care
- Wellness program
- Disability insurance
Quick apply
Occupational Therapist
Closing the Gap Healthcare —Ontario
- Contract
- Hybrid work
- Pediatrics
- Dental care
- Paid time off
Quick apply
Part-Time Chiropractor – Established Patient Base (BRAMPTON)
Avala Wellness —Brampton, ON
- $55–$70 an hour
- Part-time
- Doctoral degree
- English
- Patient care
Quick apply
13d
Occupational Therapist
SE Health —Caledon, ON
- $66–$76 an hour
- Part-time
- Hybrid work
- Patient care
- Computer skills
- Communication skills
Account Executive
THM Canada —Woodbridge, ON
- From $40,000 a year
- Full-time
- CRM software
- Sales
- Business development
- Dental care
- Paid time off
Quick apply
Chiropractor
Progressive Rehab —Brampton, ON
- $50–$100 an hour
- Part-time
- Doctoral degree
- English
- Patient care
- Flexible schedule
Quick apply
Nurse Practitioner (Remote, Ontario, Canada)
ClaraDerma+ / The Well Women —Ontario
- $75–$90 an hour
- Part-time
- Remote
- Patient care
- Medical terminology
- Communication skills
- Work from home
- Flexible schedule
Quick apply
6d
Occupational Therapist
SE Health —Brampton, ON
- $66–$76 an hour
- Part-time
- Hybrid work
- Patient care
- Computer skills
- Communication skills
Travel Registered Nurse – Relocate to New York State
Seven Healthcare —Ontario
- $3,230–$5,390 a week
- Full-time
- Nursing
- BLS Certification
- Travel
Quick apply
6d
Hair Stylist - Orangeville Heritage Mall
Great Clips —Orangeville, ON
- $27–$30 an hour
- Part-time
- Customer service
- Hair styling
- Paid time off
Associate Chiropractor
Justine Blainey Wellness Centre —Brampton, ON
- From $1,000 a year
- Contract
- English
- Patient care
- Medical terminology
Quick apply
8d
Clinical Manager, Attawapiskat, ON
Weeneebayko Area Health Authority —Ontario
- From $51.98 an hour
- Full-time
- Nursing
- BLS Certification
- Master's degree
- Dental care
- Employee assistance program
Quick apply
Bilingual (French/English) Travelling Environmental Presenter
Earth Rangers —Woodbridge, ON
- $40,000–$45,000 a year
- Full-time
- Hybrid work
- Heavy lifting
- English
- Experience working with children
- Dental care
- Paid time off
Quick apply
Technical Specialist - Pre-Analytical and Microbiology - MRHH & CVH Laboratory Services
Mackenzie Health —Vaughan, ON
- $47.03–$59.29 an hour
- Full-time
- Hybrid work
- Microsoft Office
- Supervising experience
- Team management
13d
Clinical Manager, Fort Albany, ON
Weeneebayko Area Health Authority —Ontario
- From $61.55 an hour
- Full-time
- Nursing
- BLS Certification
- Master's degree
- Dental care
- Employee assistance program
Quick apply
Associate Dentist - Dawson Dental Brampton
Dentalcorp Health Services LTD. —Brampton, ON
- Part-time
- CPR Certification
- Surgery
- Patient care
Quick apply
Registered Massage Therapist
Bolton active recovery clinic —Bolton, ON
- $75–$95 an hour
- Temporary
- Hospitality
- Customer service
- Administrative experience
- Store discount
Quick apply
Mental Health Therapist - Ontario Structured Psychotherapy Program
Queen Square Doctors and Family Health Team —Brampton, ON
- $71,877–$82,400 a year
- Full-time
- Hybrid work
- Spanish
- Microsoft Office
- Master's degree
- COVID-19 protective measures
- Dental care
Quick apply

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Technical Co-founder (New Grad) (Robotics)

Zleni Robotics
Caledon, ON

Quick apply

Job details

Full-time
$1 a year
3 days ago

Qualifications

PyTorch
Research
Machine learning
Recruiting
Data collection
AI
Robotics
Debugging

Full job description

Technical Co-Founder / CTO — Zleni Robotics

Location: Toronto / GTA preferred

Stage: Pre-Seed

Role: Technical Co-Founder & CTO

Focus: Vision-Language-Action Models, Robot Learning, Manipulation

About Zleni

Zleni Robotics is building physical AI for senior care.

We’re starting with one of the most repetitive and labour-intensive workflows in senior living and long-term care: laundry handling and folding.

Our goal is not to build another robotics demo. We are building systems that can operate reliably inside real facilities, handle the variability of real laundry, and deliver measurable ROI for operators.

We are currently working with senior-care operators toward initial deployments and are looking for a deeply technical co-founder to own the robotics stack from research through production.

The Role

We’re looking for a Technical Co-Founder / CTO who is exceptional at modern robot learning and wants to turn frontier research into deployed robotics systems.

You should be deeply familiar with the rapidly evolving work in Vision-Language-Action (VLA) models, imitation learning, diffusion policies, reinforcement learning, and generalist robot policies.

You should actively follow research and releases from teams such as Physical Intelligence, NVIDIA, Google DeepMind, Stanford, Berkeley, Toyota Research Institute, and other leading robotics labs, and be capable of determining what is actually useful for production versus what is simply impressive research.

Most importantly, you need to be able to make the robot work.

Your primary technical objective will be straightforward to describe and difficult to execute:

Build a robotic system that can reliably fold real laundry in real senior-care facilities.

What You'll Own

Own Zleni's robotics and embodied-AI technical strategy.
Build and train VLA and robot-learning policies for deformable-object manipulation and laundry folding.
Adapt and fine-tune state-of-the-art foundation models rather than unnecessarily rebuilding everything from scratch.
Design data-collection and teleoperation pipelines for gathering high-quality manipulation demonstrations.
Develop policies capable of handling variation in garments, linens, starting configurations, lighting, environments, and other real-world conditions.
Build evaluation systems around task success rate, cycle time, intervention rate, failure recovery, and deployment reliability.
Develop the perception, manipulation, planning, control, and inference stack required to take models from the lab into facilities.
Work with simulation and synthetic data where they meaningfully accelerate real-world learning.
Build mechanisms for detecting failures, recovering from them, and escalating to human teleoperation when necessary.
Make hardware and systems decisions across arms, end effectors, cameras, compute, sensors, and supporting infrastructure.
Deploy robots into customer facilities and personally debug problems in the field.
Continuously evaluate new robotics research and rapidly incorporate meaningful advances into Zleni's stack.
Recruit and lead Zleni's future robotics and engineering team.

What We're Looking For

You should have strong experience in several of the following:

Vision-Language-Action models
Robot foundation models
Imitation learning / behavior cloning
Diffusion policies
Reinforcement learning
Computer vision
Manipulation and grasping
Deformable-object manipulation
Teleoperation and demonstration collection
PyTorch
ROS / ROS 2
NVIDIA Isaac Sim / Isaac Lab
Real-time robot control
Sim-to-real and real-world policy deployment

You should be comfortable reading a newly released robotics paper or model, understanding the architecture and training methodology, reproducing or adapting the relevant ideas, and determining whether they can improve our system.

Experience working with models or research such as π0 / π0.5 / π0.6, NVIDIA GR00T, OpenVLA, RT-1/RT-2, ACT, Diffusion Policy, or similar approaches is particularly relevant.

What Matters More Than Credentials

We care much more about your ability to build than where you went to school.

You might be a robotics researcher, ML engineer, roboticist, graduate student, or unusually strong self-taught engineer.

A strong candidate can move comfortably between:

paper → code → robot → deployment → failure → iteration

You aren't satisfied when something works in a controlled demo. You want to understand what happens on attempt #500 in a customer facility.

You recognize that getting from 80% task success to 99%+ reliability can be a fundamentally different engineering problem than getting from 0% to 80%.

The First Mission

Your first major objective at Zleni will be to take laundry folding from prototype to deployment.

That means building a system capable of handling real-world variation across items such as towels, sheets, shirts, pants, and other common laundry while minimizing human intervention.

Success isn't a compelling demo video.

Success is a robot operating repeatedly in a senior-care facility, folding laundry reliably enough that an operator is willing to pay for it.

The Kind of Person We're Looking For

We're looking for someone who:

Is obsessed with robotics and embodied intelligence.
Keeps up with frontier robotics research without being asked.
Can distinguish research novelty from deployment value.
Moves extremely quickly from an idea or paper to an experiment.
Is willing to spend hours debugging a robot when reality disagrees with the model.
Thinks about reliability, latency, economics, maintainability, and customer workflows alongside model performance.
Wants substantial ownership over both the technology and the company.
Wants to build a category-defining physical AI company from the earliest stage.

Why Zleni

Senior care is facing growing labour and capacity constraints while advances in robot learning are finally making increasingly general manipulation systems possible.

We believe the opportunity is to connect those two trends: take frontier physical-AI research and turn it into economically valuable systems operating every day in real senior-care environments.

We're looking for a technical co-founder who wants to help build that company from the ground up.

Pay: $1.00 per year

Benefits:

Profit sharing
Stock options
Work from home

Application question(s):

Are you located in the Greater Toronto Area?
Are you prepared to commit full-time to Zleni if we mutually decide to work together?
Have you personally taken a learned manipulation policy from training to real-world robot deployment?
Have you trained, fine-tuned, or deployed a Vision-Language-Action (VLA) model on a physical robot?
How many years of hands-on experience do you have with robot learning, manipulation, or embodied AI?
Are you comfortable working solely on founder equity until outside investment? (est 1-3 months)?

Work Location: Hybrid remote in Caledon, ON L7C 2Y8

Quick apply

Refine Your Search

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