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Contract Meta Machine Learning Jobs in Toronto, ON

YO AI Labs

Senior Software Engineer - Remote

Toronto, ON · Remote

Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Passage

Senior Marketing Engineer

Toronto, ON · On-site

CA$100K - CA$150K/yr

... the machine doesn't run on paid alone. * Run everything through the platform -- and extend it ... Meta, Google, TikTok, LinkedIn, X) -- at API depth, not just the UI: rate limits, learning phases ...

Source Code

RQ11252 - Sr. AI Engineer

Toronto, ON · On-site

CA$90.18 - CA$108.22/hr

... contract (226 business days) - possible extension ONSITE 5 days - 222 Jarvis St Must Have: * 5+ years of experience developin g Artificial Intelligence and Machine Learning solutions. * Hands-on ...

Macfab Manufacturing Inc

CNC Machinist

Mississauga, ON · On-site

$24 - $30/hr

Macfab Manufacturing Inc. is a leading contract manufacturer specializing in precision ... Use appropriate tools, fixtures and indicators to set up the machine.Load, unload, change and ...

Deloitte

Analyst, Credit Risk Models

Toronto, ON · On-site

CA$56K - CA$84K/yr

Temporary Contract Work Model: Hybrid Reference code: 134945 Primary Location: Toronto, ON All ... machine learning and artificial intelligence, or translate complex analyses into clear ...

Meridian-Credit-Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

The role: *Please note - this is a 12-month contract opportunity* The Data Scientist will be a ... Leverage statistical techniques, machine learning, and data mining. This role involves building ...

New

Meridian Credit Union

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member ... Leverage statistical techniques, machine learning, and data mining. This role involves building ...

Litera

Associate, Legal Knowledge Engineering

Toronto, ON · Hybrid

CA$115K - CA$133K/yr

Background in legal operations, legal program management, or contract management systems. * Hands-on exposure to AI, machine learning, or generative AI tools. * Prior experience working with or ...

Vincent Associates

Junior Analyst

Toronto, ON · On-site

This is a one-year contract with potential for full-time permanent upon completion of the year ... Experience or willingness to use tools such as VBA, R, machine learning, coding, or data science ...

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Showing results 21-40

All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Toronto, ON

Contract Meta Machine Learning information

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are the most commonly searched types of Meta Machine Learning jobs in Toronto, ON?

The most popular types of Meta Machine Learning jobs in Toronto, ON are:

What are popular job titles related to Contract Meta Machine Learning jobs in Toronto, ON?

For Contract Meta Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Toronto, ON look for?

The top searched job categories for Contract Meta Machine Learning jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Contract Meta Machine Learning jobs?

Cities near Toronto, ON with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Software Engineer - Remote

Toronto, ON • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

Full-time

Re-posted 8 days ago

Job description

Job Title: Senior Software Engineer

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Required Skills and Qualifications:

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  • Strong background in feature development and codebase refactoring.
  • Proven ability to optimize software for performance and scalability.
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.


Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.