215 Data Science Managers jobs in Canada
Data Analysis
Posted today
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Posizione
Il ruolo prevede la raccolta, l’elaborazione e l’interpretazione di dati aziendali per supportare decisioni strategiche. Analizza tendenze, crea report e visualizzazioni, e collabora con vari team per migliorare processi e performance basandosi su evidenze numeriche.Caratteristiche del candidato
Lingue straniereE' richiesta la conoscenza di almeno una delle seguenti lingueIntern, Aircraft Maintenance Data Analysis (Winter 2026)
Posted 3 days ago
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Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Support reliability data collection improvement process to ensure a high level of data accuracy and completeness.
+ Build new tools and interfaces to our data using Oracle, Access, Excel with VBA, and MS PowerBI.
+ Update and document processes and procedures as required.
**How to thrive in this role?**
+ You are currently completing a degree in Computer Science, IT/Software/Electrical/Aerospace Engineering or other related fields. Non-engineering fields will also be considered.
+ You have completed a minimum of 2 years of studies in this program.
+ You have strong analytical abilities.
+ You have in-depth technical knowledge of Microsoft Suite products
+ You have a strong understanding of how to manipulate data in MS Excel as required with VBA.
+ You have can create queries and filters in MS Access, for the purpose of engineering data analysis.
+ You have a good foundation with MS Power BI and PowerAutomate to build dashboards and reports (asset)
+ You have knowledge of SAP, Salesforce.com, Oracle, Azure, SQL, Maximo and Machine Learning (asset)
+ You possess excellent communication (English required), presentation and interpersonal skills.
+ You are a highly motivated team player with a sense of responsibility and good judgment.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
Student Intern, Smart Energy - Pricing Management and Product Data Analysis
Posted 18 days ago
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Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Machine Learning Engineer
Posted 3 days ago
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_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
Machine Learning Engineer
Posted 26 days ago
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Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
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:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**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 ( 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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**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
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Machine Learning Engineer
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Job Description
We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we've been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech "Company of the Year – Growth", we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.
Apera AI is building the future of robotics and AI right here in Vancouver.
Let's End Robot Blindness
Robots can do amazing things, if they can see. That's where you come in.
We're Apera AI. Our breakthrough vision systems turn blind robots into intelligent, adaptable workers. But that transformation doesn't happen without people, especially the ones who teach robots how to learn from data and see the world clearly.
We're looking for a Machine Learning Engineer - Synthetic Data & Training Pipeline to build the systems that connect data quality to model performance. Someone who thrives on experimentation, automation, and impact, turning messy data into intelligence that works on real factory floors.
This is an engineering-first role, not pure research, not isolated modeling. You'll design scalable data pipelines, automate training, and make sure our models trained in simulation succeed in the real world.
What You'll Actually Do
- Build and scale synthetic data generation pipelines that feed our 4D vision models.
- Design and automate ML workflows for data processing, training, and evaluation.
- Experiment with new augmentation and domain adaptation techniques that boost model robustness.
- Collaborate with applied scientists, simulation engineers, and artists to bring data-driven ideas to life.
- Create internal tools for dataset tracking, experiment reproducibility, and training diagnostics.
- Continuously improve - apply AI-driven analytics to optimize data, accelerate iteration, and strengthen model reliability.
Why This is a Career Move (Not Just a Job)
At Apera, we don't just build robots, we build the intelligence that lets them see, adapt, and perform.
Here's what makes this role special:
- It's not just data - it's trust. The pipelines you build decide how confidently manufacturers rely on automation.
- You'll grow fast - at the intersection of ML, simulation, and real-world robotics.
- You'll see your work in action - every factory floor running Apera Vision runs on your models.
- You'll shape how AI learns - designing systems that make synthetic-to-real training faster, smarter, and more scalable.
What We're Looking For
- 3+ years of experience in machine learning, computer vision, or data pipeline development
- Proficiency with Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience building or maintaining synthetic data or simulation-based training pipelines
- Strong understanding of dataset design, augmentation, and experiment tracking
- Hands-on experience with CI/CD, cloud ML tools, or data orchestration frameworks
Bonus points if you have:
- Experience with domain adaptation, data-centric AI, or 3D rendering tool.
- Familiarity with robotics, simulation environments, or digital twins
Why Apera?
- Competitive salary in the range of $100,000 - $130,000 CAD , plus equity and comprehensive benefits.
- Equity for every employee - you share in what we build
- Comprehensive health, dental, and vision coverage
- A chance to make a difference.
At Apera AI, every employee owns equity, because those who build the future should share in its upside. Join us to make robotics more accessible, predictable, and powerful.
Machine Learning Engineer
Posted today
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Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!
What You'll Do:
- Collaborate with cross-functional teams to design and deploy ML models.
- Develop reusable, scalable code for AI/ML applications.
- Leverage GCP services to build end-to-end machine learning pipelines.
- Optimize models for performance and scalability using Vertex AI.
Requirements
Key Requirements:
- Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
- Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
- Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
- API Development: Skilled in developing robust APIs for seamless integrations.
- Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines.
Why Join Us?
- Work remotely while contributing to cutting-edge projects.
- Collaborate with a dynamic team passionate about AI/ML innovation.
- Opportunity to work with the latest Google Cloud technologies.
Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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Machine Learning Scientist
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Job Description
Salary:
Were seeking talented ML practitioners to join our team. Youll work on high-impact projects that bring cutting-edge AI research to life in real-world applications. If you are ready to contribute and lead innovative ML projects spanning industries, specializations and applications, get in touch!
- Dave Staszak, Lead Machine Learning Scientist
About the Role
Reporting to the Lead Machine Learning Scientist, Advanced Technology, the Machine Learning Scientist, Advanced Technology serves as a key member in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.
This position is responsible for the delivery of innovative solutions to Amii's industry partners by leading applied ML projects and mentoring junior team members. Their expertise bridges the gap between fundamental ML techniques and business applications, guiding clients through the complexities of AI adoption.
The Advanced Technology team sources technical talent to work on our industry partners projects and the Machine Learning Scientist is responsible for supporting that talent through those project deliveries.
The position focuses on achieving excellence in four main accountabilities:
- Client Success: Work with Amii clients to advance their ML projects and capabilities.
- Machine Learning Expertise: Serve as a subject matter expert to guide and support organizational initiatives.
- Research & Development: Support the advancement of ML research and development in both industry and academia.
- People Leadership: Mentor junior team members to help them achieve their goals and advance their professional growth.
Required Skills / Expertise
Key Responsibilities:
Client Success
- Leads regular client meetings to understand their machine learning objectives and provides tailored technical guidance to support project development
- Bridges the gap between fundamental ML techniques and business applications, providing scientific insight into technical projects and leading the technical and scientific direction
- Supports the implementation of exploratory data analysis and machine learning modelling techniques
- Conducts client discovery sessions to understand and evaluate potential projects and to determine specific needs and requirements
- Coaches clients to efficiently extract insights and make informed decisions
- Writes and reviews technical reports and code
- Develops and nurtures strong relationships with clients through effective communication and scientific excellence
- Incorporates client feedback to enhance delivery and ensure client success
Machine Learning Expertise
- Establishes themselves firmly as a trusted subject matter expert in a specific domain
- Coaches junior staff through the model-building process, providing expertise and support
- Mentors junior team members on career development and progression, drawing lessons for coaching opportunities
- Encourages a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
- Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
- Ensures the Principled AI Framework is integrated into all projects, promoting ethical AI development and usage
Research and Development
- Translates academic research into practical applications, applied research and industry solutions
- Conducts research in leading-edge methods in various AI domains, such as reinforcement learning (RL), computer vision (CV), natural language processing (NLP) and large language models (LLMs)
- Transfers knowledge across domains and industries, building a strong technical repertoire to bring to new problems
- Prepares manuscripts for publication in peer-reviewed journals
- Supports fundamental research in AI through applied research projects and the development of research topics
People Leadership
- Provides supervision to junior team members by overseeing and refining their work, and managing approval processes
- Mentors direct reports on career development and progression, drawing lessons for coaching opportunities
- Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
- Encourages and maintains a problem-solving approach to work while acting as a coach and collaborator
- Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
- Functions as a point of escalation for addressing challenges and facilitating the resolution of problems
Qualifications:
- Masters or PhD in Computer Science with a specialization in Machine Learning or related scientific field with relevant applied experience in Machine Learning
- 2+ years experience developing, training, and evaluating machine learning models in an industrial setting
- 1+ years experience in a leadership capacity in industry or academic setting (nice to have)
- Proficient in Python, experience in other programming languages i.e. Java or SQL (nice to have)
- Proficient with machine learning tools and frameworks such as Scikit-learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy
- Publication record in peer-reviewed academic conferences or relevant journals
- Ability to explain complex technical concepts clearly to non-technical audiences
- Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
- Experience leveraging cloud based tools for ML model building and deployment
Knowledge, Skills and Abilities (KSA):
- Strong analytical and problem-solving abilities, with a keen attention to detail
- Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs
- Works independently and make informed decisions while collaborating with team members and subject matter experts
- Able to identify gaps in knowledge and triage their own learning appropriately
- Comfortable taking a leadership role, providing expert scientific guidance and mentorship to both clients and junior team members
- Exhibits confidence and sound judgment while collaborating with subject matter experts
What you'll love about us
- A professional yet casual work environment that encourages the growth and development of your skills
- Participate in professional development activities
- Gain access to the Amii community and events
- A chance to learn from amazing teammates who support one another to succeed
- Competitive compensation, including paid time off and flexible health benefits
- A modern office located in downtown Edmonton, Alberta
About Amii
One of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
How to Apply
If this sounds like the opportunity you've been waiting for, please dont wait for the closing October 17, 2025 to apply - were excited to add a new member to the Amii team for this role, and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application, please send your resume and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.
Researcher - Machine Learning
Posted 23 days ago
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Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;
Implement algorithms for proposed models and applications, deploy into internal product;
Work closely with researchers in the team;
Keeping up-to-date on selected areas of ML and writing scientific reports;
Provide insight report on the latest literature work.