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Machine Learning Developer Intern Jobs in Quebec

Join our Machine Learning Platform team and help bring models, including Large Language Models ... As a Backend Developer, you will: * Contribute to the development lifecycle, including coding ...

... Developer Position overview As a Senior ML Developer on the team, you will be responsible for ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

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Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Infographic showing various Machine Learning Developer Intern job openings in Quebec as of September 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 100% In-person job distribution.

Senior Applied Machine Learning Scientist, Predictive AI(B3617)

Montreal, QC

CA$156K - CA$190K/yr

Full-time

Re-posted 6 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$156,500 - $190,000 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:

What does TD Analytics, Insights and Artificial Intelligence stand for? For starters, we believe in visionary leadership and insights.

We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data, with a strong focus on AI.

Job Requirements:

As a Senior Applied Machine Learning Scientist, you will lead a high-performing team of AI/ML professionals and provide technical leadership across the AI function. You will be responsible for:

  • Managing, mentoring, and developing a team of applied machine learning scientists, fostering a collaborative and innovative work environment.
  • Leading the conceptualization, design, and delivery of AI/ML systems to solve complex business and enterprise-wide problems.
  • Providing thought leadership and developing innovative methodologies and techniques in AI/ML.
  • Collaborating with cross-functional teams including Machine Learning Engineers and research scientists, data scientists, and business stakeholders to build and implement cutting-edge analytic solutions.
  • Translating business objectives into scalable technical solutions and delivering enterprise-level insights.
  • Acting as a business partner to guide and prioritize strategic initiatives and analytical needs.
  • Driving continuous improvement through monitoring systems, feedback loops, and trend analysis.
  • Ensuring compliance with internal and external governance, risk, and regulatory requirements.
  • Championing a culture of excellence, inclusion, and continuous learning within the team.

As the Senior AMLS, Predictive AI, Canadian Personal Banking AI2, you will specifically manage a team developing predictive AI for Regression, Classification and Anomaly Detection use cases. You and your team will also collaborate with Layer 6 to develop and evolve the suite of TD AI Prism foundational model.

Models in scope cover the whole range of CPB verticals: RESL, Distribution, Credit Cards and Personal Lending, as well as Checking Savings and Investing.

Qualification:

  • Undergraduate degree required; advanced technical degree preferred (e.g., Mathematics, Physics, Engineering, Finance, Computer Science).
  • Minimum 5+ years of relevant experience, including post-graduate work in AI/ML or related fields.
  • Proven experience in leading and managing technical teams, with a focus on mentorship and performance development.
  • Deep expertise in AI/ML frameworks, tools, and methodologies.
  • Strong strategic planning, communication, and stakeholder engagement skills.
  • Extensive understanding of business operations and enterprise-level analytics.
  • Experience working with large-scale data systems and advanced machine learning techniques.

Demonstrated ability to provide specialized knowledge and guidance across multiple domains of AI.

Description du poste :

Apercu du departement :

Que signifient TD Analytics, Insights et Intelligence Artificielle ? Pour commencer, nous croyons en un leadership visionnaire et en des perspicaces.

Nous croyons en les talents que nous developpons pour mieux servir nos clients, et nous savons que de nombreuses decouvertes et produits revolutionnaires qui representent l'avenir chez TD peuvent tous etre portes par des donnees, avec un fort accent sur l'IA.

Exigences du poste :

En tant que scientifique principal applique en apprentissage automatique, vous dirigerez une equipe performante de professionnels de l'IA/ML et assurerez un leadership technique dans toute la fonction IA. Vous serez responsable de :

  • Gerer, encadrer et developper une equipe de scientifiques en apprentissage automatique applique, favorisant un environnement de travail collaboratif et innovant.
  • Direction de la conceptualisation, de la conception et de la mise en uvre de systemes d'IA/ML pour resoudre des problemes complexes a l'echelle des entreprises et de l'entreprise.
  • Fournir un leadership d'opinion et developper des methodologies et techniques innovantes en IA/ML.
  • Collaboration avec des equipes interfonctionnelles incluant des ingenieurs en apprentissage automatique et des chercheurs scientifiques, des data scientists et des parties prenantes de l'entreprise pour construire et mettre en uvre des solutions analytiques de pointe.
  • Traduire les objectifs metier en solutions techniques evolutives et fournir des insights au niveau de l'entreprise.
  • Agir en tant que partenaire commercial pour guider et prioriser les initiatives strategiques et les besoins analytiques.
  • Favoriser l'amelioration continue grace a des systemes de surveillance, des boucles de retroaction et l'analyse des tendances.
  • Garantir la conformite aux exigences internes et externes de gouvernance, de risques et reglementaires.
  • Promouvoir une culture d'excellence, d'inclusion et d'apprentissage continu au sein de l'equipe.

En tant que Senior AMLS, IA Predictive, Canadian Personal Banking AI2, vous gererez specifiquement une equipe developpant l'IA predictive pour les cas d'utilisation de la regression, de la classification et de la detection d'anomalies. Vous et votre equipe collaborerez egalement avec Layer 6 pour developper et faire evoluer la suite de modeles fondamentaux TD AI Prism.

Les modeles concernes couvrent l'ensemble des secteurs de CPB : RESL, Distribution, Cartes de credit et Prets personnels, ainsi que Compte courant, Epargne et Investissement.

Qualification :

  • Diplome de premier cycle requis ; diplome technique avance prefere (par exemple, mathematiques, physique, ingenierie, finance, informatique).
  • Minimum 5+ ans d'experience pertinente, incluant des etudes post-universitaires en IA/ML ou dans des domaines connexes.
  • Experience averee dans la direction et la gestion d'equipes techniques, avec un accent particulier sur le mentorat et le developpement de la performance.
  • Expertise approfondie des cadres, outils et methodologies IA/ML.
  • Solides competences en planification strategique, communication et engagement des parties prenantes.
  • Une connaissance approfondie des operations commerciales et de l'analyse au niveau de l'entreprise.
  • Experience de travail avec des systemes de donnees a grande echelle et des techniques avancees d'apprentissage automatique.

Capacite demontree a fournir des connaissances specialisees et des conseils dans de multiples domaines de l'IA.

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):

Maitrise d'une langue autre que le francais pour offrir du soutien ou traiter avec des employes qui ont besoin de services et de soutien dans une langue autre que le francais.