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Meta Machine Learning Jobs in Toronto, ON (NOW HIRING)

Owl.co

Principal Software Engineer

Toronto, ON

CA$220K - CA$300K/yr

Deep, hands-on experience designing, deploying, and scaling AI/Machine Learning systems or LLM ... Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class ...

DEPT

Applied AI Creative Technologist

Toronto, ON

Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and ... Research latest trends in AI and machine learning to build scalable copywriting and design ...

DEPT

Operations Manager (3 month FTC)

Toronto, ON · Hybrid

CA$85K - CA$100K/yr

Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and ... Train teams, document system, and create a self-sustaining machine via an operations playbook ...

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Meta Machine Learning information

What is a Meta Machine Learning job?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in the Meta Machine Learning position, and why are they important?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a Meta Machine Learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.
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Meta Machine Learning jobs near you
Infographic showing various Meta Machine Learning job openings in Toronto, ON as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Meta Media Buyer (Part-Time, Remote)

MVR Digital

Toronto, ON • Remote

CA$1.80K - CA$3.20K/mo

Contractor

PTO

Posted 12 days ago

Job description

Media Buyer (Meta-Focused) MVR Digital | Remote | Part-Time


About MVR Digital

MVR Digital is a performance marketing agency recognized by ADWEEK as one of the Fastest Growing Agencies. We manage paid media for growth-stage DTC and e-commerce brands spending $100K to $1M+ monthly across Meta, Google, TikTok, and more.


We're remote-first with roots in New York, Denver, and Canada. Our clients come to us after being burned by agencies that overpromise. They stay because we own outcomes and tell them the truth.


The Role

You'll manage Meta campaigns across 3 to 6 e-commerce accounts, working closely with strategists, client success, and creative teams. This role is non-client-facing, but it's not purely executional either.


We want someone who understands Meta deeply enough to have opinions. You know when the structure is wrong, when the creative is the bottleneck, and when the strategy needs a second look. You bring that thinking to the team, and you execute on it with precision.


EST hours preferred, with required overlap from 10 AM to 1 PM EST. As the agency scales, strong buyers here get access to larger and more complex accounts.



What You'll Do

  • Own Meta campaign execution across e-commerce accounts, including ASC, CBO, and ABO structures
  • Monitor daily pacing and performance, adjusting budgets and bids as needed
  • Troubleshoot issues quickly and execute optimizations without waiting to be prompted
  • Contribute strategic input on account structure, testing approach, and creative direction
  • Run audience, creative, and bidding tests aligned to strategic roadmaps
  • Stay current on Meta platform changes, algorithm behavior, and best practices, and apply them proactively
  • Partner with creative teams by translating performance data into actionable creative feedback
  • Maintain clean campaign structures, naming conventions, and documentation across all accounts
  • Collaborate in Slack and ClickUp to stay aligned with strategists and client success


What You Bring

Meta (Required)

  • 3+ years of hands-on Meta buying experience for DTC or e-commerce brands
  • Deep expertise in ASC, CBO, and ABO, including the strategic rationale behind each
  • Strong understanding of Meta's machine learning systems and how campaign structure decisions affect them
  • Experience managing fast-scaling accounts with $100K+ monthly ad spend, ideally across multiple accounts simultaneously
  • Ability to diagnose performance issues at the creative, audience, and structural level
  • Familiarity with CAPI, Pixel setup, attribution windows, and how data quality affects platform performance
  • Current on Meta platform changes and able to translate them into strategic adjustments
  • Proven experience collaborating with creative teams, including translating performance data into actionable briefs and running structured creative tests


Nice to Have

  • Google Ads experience across Search, Shopping, or Performance Max
  • TikTok Ads Manager experience with DTC brands
  • E-commerce background, especially beauty


Working Style

  • You work autonomously and follow through without reminders
  • You bring observations and recommendations, not just status updates
  • You communicate clearly in writing in an async-first environment
  • You flag performance shifts before they show up on someone else's radar


How We Work

Our values shape how we operate day to day, not just what we put on a website.

  • Act Like an Owner. You spot problems and bring solutions. Waiting to be told is not the standard.
  • Clarity Over Complexity. Clean structures, clear communication, simple systems. If it's complicated, we make it simpler.
  • Serve Clients' Best Interest. Your execution directly fuels client outcomes. That connection matters here.
  • Data-Informed, Human-Led. Numbers guide decisions. Judgment closes them.
  • We Win Together, We Lose Together. Strategists, creatives, and buyers succeed as a unit. Credit and accountability are shared.


Compensation and Perks

  • USD $1,800 to $3,200 per month, based on experience
  • Part-time contractor arrangement
  • PTO, paid sick leave, and local holidays observed
  • Flexible Fridays
  • Fully remote


You're a Good Fit If

  • You know Meta well enough to push back when the strategy isn't right
  • You can spot whether underperformance is a creative problem, a structure problem, or a signal problem
  • You flag issues before they show up in client calls
  • You want a focused role with a high-caliber team and room to grow into more
  • You've worked closely with creative teams and know how to turn what you're seeing in the accounts into useful direction

Apply