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Machine Learning Startup Jobs in Ontario (NOW HIRING)

Avahi

AWS Solutions Architect

Toronto, ON · Remote

Experience with Data, Machine Learning, or AI technologies. * Passion for contributing to open ... We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that ...

KitchenMate

Lead Software Engineer

Toronto, ON · On-site

Experience with machine learning * Experience with IOT * Startup experience We work hard, but smart towards our mission as a team. We think from first principles, act with purpose, build trust, craft ...

KitchenMate

Lead Software Engineer

Toronto, ON · On-site

Experience with machine learning * Experience with IOT * Startup experience We work hard, but smart towards our mission as a team. We think from first principles, act with purpose, build trust, craft ...

Quantum Space

CA$175K - CA$225K/yr

Experience with multi-agent relative navigation or machine learning for estimation, perception, or task planning. * Experience leading small technical teams in startup or NewSpace environments.

DefineHR Inc

Controls & Automation Specialist

Trenton, ON · On-site

$90K - $110K/yr

... automated machinery and custom production systems. You will own the build from idea to startup ... Keep learning new technologies and additional brands of automation hardware Qalifications * Minimum ...

Priceline.com LLC

Development Manager

Toronto, ON · On-site

CA$130K - CA$155K/yr

Drive the adoption of emerging technologies, such as Generative AI or Machine Learning, to enhance ... We're a grown-up, startup. We deliver the excitement of a new venture, without the struggles and ...

Machina Labs

Senior Technical Recruiter

Chatsworth, ON · On-site

CA$120K - CA$150K/yr

... AI and machine learning roles, partnering closely with technical leadership to define hiring ... Background in high-growth or startup environments. * Experience building or scaling recruiting ...

Priceline

Development Manager

Toronto, ON · On-site

CA$130K - CA$155K/yr

Drive the adoption of emerging technologies, such as Generative AI or Machine Learning, to enhance ... We're a grown-up, startup. We deliver the excitement of a new venture, without the struggles and ...

Crownholdings

Millwright

Toronto, ON

... startup verification. Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

Crownholdings

Millwright

Toronto, ON · On-site

CA$42.85/hr

... startup verification. * Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

Crownholdings

Front End Mechanic

Toronto, ON

... startup verification. * Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

Crownholdings

DECO MAINTAINER

Toronto, ON · On-site

... startup verification. * Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

Crownholdings

DECO MAINTAINER

Toronto, ON · On-site

... startup verification. * Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

Crownholdings

Back End Mechanic

Toronto, ON · On-site

... startup verification. * Support breakdowns: diagnose root causes, develop safe repair plans, and ... Demonstrate strong craftsmanship, safe habits, and proactive learning. Safety & Compliance ...

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Showing results 41-60

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Ontario

Machine Learning Startup information

See Ontario salary details

$23.5K

$114.7K

$210.5K

How much do machine learning startup jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning startup in Ontario is $114,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $147,000.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in Ontario?

The most popular types of Machine Learning Startup jobs in Ontario are:

What are popular job titles related to Machine Learning Startup jobs in Ontario?

For Machine Learning Startup jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Machine Learning Startup jobs in Ontario look for?

The top searched job categories for Machine Learning Startup jobs in Ontario are:

Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,691 per year, or $55.1 per hour.

AWS Solutions Architect

Avahi

Toronto, ON • Remote

Full-time

Re-posted 7 hours ago

Job description

Company Overview

At Avahi, we're redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first.


As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values-Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion-we empower businesses to embrace the full potential of a cloud-first approach.


Role Summary

Avahi is seeking an accomplished AWS Solution Architect to lead the design, implementation, and management of AWS solutions. This role is critical in driving successful migration, modernization, and DevOps initiatives. As the primary technical leader, you'll guide customer consultations, create innovative proofs of concept (POCs), and shape our technical strategies. If you are passionate about AWS solutions and thrive in a collaborative, fast-paced environment, this role is perfect for you.


Key Responsibilities

  • Customer Engagement: Act as the primary technical leader in customer calls, leading technical discussions and presenting solutions.
  • Presales Engineering: Support DevOps, migration, and modernization projects by delivering high-quality technical strategies.
  • MAP Assessments: Conduct Migration Acceleration Program (MAP) assessments and lead workshops to evaluate cloud migration readiness.
  • Project Scoping: Create detailed level-of-effort estimates and scope-of-work documents to support project planning and proposals.
  • Technical Escalation: Serve as a hands-on escalation point for complex technical issues during project execution.
  • Mentorship: Guide team members on AWS solutions, migration strategies, and best practices, fostering skill development.
  • Migration Leadership: Leverage deep cloud migration experience to ensure seamless transitions to AWS from on-premises environments.
  • Solution Design: Design and implement innovative solutions, remaining hands-on throughout project lifecycles.
  • Continuous Improvement: Stay updated on AWS offerings, DevOps tools, and emerging technologies to drive innovation.


Required Skills and Qualifications

  • Certifications: AWS Professional and specialty certifications are highly desirable.
  • AWS Expertise: Extensive hands-on experience with AWS services, including EC2, S3, RDS, Lambda, CloudFormation, EKS, and ECS.
  • Proven Success: Track record of leading successful AWS migration and modernization projects.
  • DevOps Proficiency: Strong experience with Kubernetes, Docker, and CI/CD tools (e.g., GitHub Actions, AWS CodeSuite, CircleCI).
  • Infrastructure as Code: Hands-on experience with IaC tools like Terraform or CloudFormation.
  • Framework Knowledge: Familiarity with the AWS Well-Architected Framework and its best practices.
  • Problem-Solving: Strong ability to troubleshoot and resolve complex technical issues.
  • Communication Skills: Excellent written and verbal communication abilities.


Bonus Qualifications

  • Experience with Data, Machine Learning, or AI technologies.
  • Passion for contributing to open-source tools and communities.
  • Knowledge of advanced AWS services or emerging technologies.


Why Work Here

  1. Remote-First Flexibility:
    Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
  2. Innovative Culture:
    We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions.
  3. Career Development:
    Avahi is committed to your growth, offering mentorship and opportunities to advance your career.
  4. Purpose-Driven Mission:
    Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
  5. Global Collaboration:
    Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.


Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth.


Accessibility and Inclusivity Statement
At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities.


We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.


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