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Remote Machine Learning Robotics Jobs in Toronto, ON

Mercor

Network Specialist - Fully Remote

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Mercor

Healthcare Manager - Domain Expert

Toronto, ON · Remote

CA$80 - CA$110/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in machine learning systems . * Contribute expertise to cutting-edge ...

Mercor

Nurse Practitioner - Clinical Expert

Toronto, ON · Remote

CA$80 - CA$100/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in your domain to advance machine learning systems . * Contribute ...

Mercor

Administrative Services Manager - Expert

Toronto, ON · Remote

CA$90 - CA$110/hr

Remote Duration: 3-4 weeks Commitment: 30-40 hours/week Role Responsibilities * Create deliverables ... Diagnose and solve real issues in your domain to advance machine learning systems . * Contribute ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) * Data Applications (Ex: Logs ...

Mercor

Network Engineer - Data Annotation

Toronto, ON · Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

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All JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Toronto, ON

Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Toronto, ON? For Remote Machine Learning Robotics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Toronto, ON look for? The top searched job categories for Remote Machine Learning Robotics jobs in Toronto, ON are:
Remote Machine Learning Robotics jobs near you

Product Manager - Computer Vision & Data Products (Remote, Canada)

Zesty.ai

Toronto, ON • Remote

Other

Posted 12 hours ago

Job description

Product Manager - Computer Vision & Data Products (Canada, Remote)

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of identifying and managing risk continue to provide an incomplete solution to these threats.

ZestyAI uses novel data gathering and machine learning approaches to produce higher quality information about the risks to property from catastrophes like severe convective storms and wildfires. While AI alone may not be able to thwart these disasters, it can help communities around the world become more prepared for them, and ultimately that will lead to better outcomes for business and society.

As a Product Manager - Computer Vision and Data Products, you are an analytical thinker and passionate about working with complex data. You are a pacesetter who wants to deliver innovative products; you are organized, self-directed, committed to innovation, and possess outstanding EQ and communication skills. You will be crucial in operating the ZestyAI platform and delivering property characteristics and risk information to our clients. You thrive in a collaborative and creative environment that moves fast and are comfortable learning new skills, leveraging the latest AI tools, and working with unfamiliar technologies.

The Opportunity:

  • Own the product and feature development lifecycle from inception to launch in the field of machine learning, large language models, and computer vision
  • Build the analytics and model development roadmap of data and risk solutions by researching and analyzing various sources of information
  • Discover and translate data into tractable data science questions and engineering specifications to guide strategic decision making
  • Work closely with data scientists and software engineers as a key member of the product development team
  • Act as the model owner and subject matter expert when interfacing with Regulators and Customers
  • Iterate rapidly on everything; all of the above happens in a fast-paced business-driven environment that you must be comfortable with
  • Work with our customers to understand complex workflows and pain points and find solutions to the problems

What You Bring to the ZestyAI Team:

  • 3-6 years of work experience in analytics, data science, financial modeling, risk modeling, climate modeling or other relevant field

  Including 1-2 years of Product Management experience, working with data products or model-based features such as actuarial risk model, climate risk model, credit risk model, search model, etc.

  • Bachelor's or Master's in a quantitative field such as Engineering, Sciences, Commerce
  • Outstanding communication skills, well-versed in building executive-style presentations
  • Ability to manage multiple/competing priorities and deliver on time
  • Comfortable leveraging AI tools to automate and accelerate everyday work (i.e. Claude Cowork)
  • Proficient in SQL, Excel, Python
  • Must be legally eligible to work in Canada

Nice to Have:

  • Exposure to insurance, real estate, and risk modeling
  • Experience working with computer vision models

Why ZestyAI:

  • Be a part of a well-funded growth-stage start-up
  • Work with a high-performance product team and cutting-edge development team
  • Market competitive comp and equity incentives to give you a stake in our future
  • Remote-first policy
  • Flexible Time Off
  • Comprehensive benefits package
  • Home office setup stipend
  • Annual Learning and Development allowance
  • An upbeat and collaborative work culture
  • Company-sponsored outings and offsites

Apply