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Temporary Meta Machine Learning Jobs in Toronto, ON

Td

Sr. Full Stack Data Science Engineer

Toronto, ON

CA$154K - CA$199K/yr

... temporary market premium specific to this role that is reassessed annually. TD is committed to ... Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ...

DEPT

CRM Marketing Manager (12 month FTC)

Toronto, ON · Hybrid

Utilize predictive analytics and machine learning capabilities to enhance personalization and customer targeting. * Work in close partnership with CRM Operations teams to ensure campaigns are built ...

New

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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Temporary Meta Machine Learning information

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

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

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

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

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are popular job titles related to Temporary Meta Machine Learning jobs in Toronto, ON? For Temporary Meta Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Toronto, ON look for? The top searched job categories for Temporary Meta Machine Learning jobs in Toronto, ON are:
Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in Toronto, ON as of June 2026, with employment types broken down into 2% Locum Tenens, 88% Full Time, 3% Part Time, 3% Temporary, 2% Contract, and 2% Nights. Highlights an 76% Physical, 10% Hybrid, and 14% Remote job distribution.
PhD Intern, HCI & Visualization Research

PhD Intern, HCI & Visualization Research

Autodesk

Toronto, ON

Full-time

Posted 6 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 191 rated software companies

Job description

Job Requisition ID #

25WD91740

Position Overview

Graduate internships will explore new areas of technology and help Autodesk (as well as the academic community) understand how emerging technologies can be leveraged to improve creation and design processes. Within the HCI and Visualization research group, you and your mentor(s) will arrive at a mutually agreed upon research project in the area of human-computer interaction or data visualization. Over the course of the internship, you will drive that project forward with guidance from your mentor(s), including implementation, experimental validation, data analysis, etc. Specific areas of interest for research projects include: User Interfaces for generative AI or Machine Learning Systems, Information Visualization, Software Learning, Future of Work, Generative Design Tools, Interactive Fabrication, and, Augmented Reality, Virtual Reality

Based in Canada or USA

Responsibilities

  • Support the research and design efforts by developing software prototypes
  • Conduct literature reviews
  • Gather requirements and issues to explore and design
  • Develop algorithms
  • Build prototypes to test and explore concepts
  • Conduct formal controlled psychological experiments to test research ideas and hypotheses
  • Measure human performance and cognition limitations related to interaction with technology
  • Conduct usability studies, ethnographic studies, heuristic evaluations, task analyses, structured interviews and surveys
  • Evaluate research findings and prototypes to make recommendations for impacting business and products.
  • Explore new prototyping frameworks and technologies
  • Author a full research paper
  • Produce an accompanying research video
  • Present the results of your research externally and internally

Minimum Qualifications

  • Currently enrolled in a PhD program in Computer Science or related field, with a specialization in Human-Computer Interaction, and at least one academic term to complete post internship
  • Demonstrated expertise in the area of interactive technologies, with peer-reviewed publications on the topic in international venues
  • Strong communication skills and teamwork experience
  • Very strong technical skills in building software prototypes

Preferred Qualifications

  • Experience with modern generative AI tools and frameworks (e.g., GPT, Llama, Stable Diffusion, ComfyUI)
  • Experience with web development and frameworks (e.g., React/Next.js, Node.js/Flask, etc.).
  • Experience interfacing with unique hardware modules
  • Experience developing software in a Windows or MacOS environment
  • Experience developing software for AR or VR equipment (e.g., Meta Quest, Apple Vision Pro)
  • Experience with programming 3D graphics, Unity, Unreal Engine
  • Experimental design and data analysis
  • Rapid prototyping
  • Ability to work effectively as a member of a team; ability to work with minimum supervision, self-driven
  • Ability to deal with requirements from multiple sources and find solutions and deal with conflicts and compromises in a diplomatic manner
  • Ability to communicate effectively and work cooperatively with other teams
  • Ability to write clear, concise, correct technical material

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience, educational level, and geographic location.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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