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Machine Learning Data Associate Jobs in Toronto, ON

Td

AI2 Data Science Associate (Graduate)

Toronto, ON · On-site +1

Associate Role Profile: Our Associates are full-time employees participating in an 18 -mont h ... Machine Learning - Data/Text Mining, Programming, Algorithm Development, Automation Data ...

OpenTable

Staff Machine Learning Engineer

Toronto, ON · Hybrid

About the Role The Data Science team at OpenTable supports a wide range of initiatives targeting ... As a Staff Machine Learning Engineer , you will set the technical direction for how OpenTable ...

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Machine Learning Data Associate information

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Toronto, ON are hiring for Machine Learning Data Associate jobs?

Cities near Toronto, ON with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you

AI2 Applied Machine Learning Scientist (Graduate)

Toronto, ON

Td
See more jobs at Tdexternal

Full-time

Posted 4 days ago

Job description

Role Type:

Masters and Advanced Degrees

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Pay Details:

105000 - 105000 CAD


TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

DEPARTMENT OVERVIEW

Our Associate Programs offer new graduates the opportunity to work in one of TD's many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

Associate Role Profile: Our Associates are full-time employees participating in an 18-month rotational program (two nine-month rotations) to gain exposure and experience to opportunities and to a variety of business areas within the Analytics Insights & AI team in-depth experience, complemented by programming, coaching, tools and support.

As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada!

JOB DESCRIPTION

The Applied Machine Learning Scientist will perform a variety of activities, which may include:

  • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.

  • Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.

  • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data

  • Build production-scale solutions and work with deployment teams to integrate in business operations

  • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences

JOB REQUIREMENTS

  • Must be graduated between May 2025 and May 2027 with a Graduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.

  • Strong statistical and analytical skills as well as a passion for analytics are necessary.

  • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.

  • Experienced in one or more of:

  • Big Data - Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation

  • Machine Learning - Predictive Analytics, Regression, Logit Modeling, Model development, Discrete Choice, Propensity Modeling, Natural Language Processing, Generative AI.

  • Software Engineering - Code Quality, Version Control, Object-Oriented Programming

  • Strong technical knowledge and experience with one or more of: Python, R, Spark, SQL, SAS, Java, or C/C++

  • Technical knowledge or experience with Cloud environments as well as experience with Data Management, and Project Management are a plus.

  • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.

  • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.

  • Remain current with emerging trends and technologies in Data Science

ADDITIONAL INFORMATION

  • Application Deadline: September 25th, 2026

  • Anticipated Start Date: July 5th, 2027 (pending academic completion)

  • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

  • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

  • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.

HOURS

Monday-Friday, standard business hours.

INCLUSIVENESS

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.


Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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