Company: Manulife
Location: Toronto, ON
Expected salary:
Job date: Fri, 13 Jun 2025 04:13:25 GMT
Job description: The OpportunityWe have an exciting opportunity for a Lead Technical Product Manager (Individual contributor – Director level) within Product and Platform Services team.We are seeking a talented, motivated and driven individual who will be responsible for being a Lead Technical Product Manager for driving better Developer Experience when using Cloud services (Infrastructure/Containers, PaaS and Data Analytics) and Developer tools.Work arrangement: Hybrid – 3 days in office, 2 days from Home; Remote working option is not available.People Leader Role: NoPosition Responsibilities:You will be creating vision, strategy and elaborating use cases/requirements that engineering teams would love to deliver. This will be through engagement with internal customers (business segments), application owners, developers, cloud operations and security teams, product managers, engineering team and leadership. You will also be responsible for developing deliverable/release technical content for stakeholder consumption.You will interact cross-functionally with engineering, product managers, cloud operations team and internal business segments.Required Qualifications:Drive vision and strategy for Manulife Cloud and Developer ServicesResponsible for Elaboration of Use cases/requirements and maintains a prioritized product backlog (epics and user stories) based on business value, ROI and company vision.Responsible for owning Product Owner responsibilities for Agile Scrum/Kanban squad(s)Work both internally with functional groups (engineering, product managers, cloud operations team and internal business segments) to drive technical release content and deliverables.Engage with customers (business segments) on an occasional basis, solicit requirements and prioritize backlog accordingly.Create technical content for stakeholder consumptionOwn roadmap for Manulife Cloud Container/PaaS/Data Analytics servicesDeliver Solution/Feature Presentations/Demos at business reviews and meetings.Understands and critiques the architecture proposed by architecture team and ensures that the engineering team delivery is aligned to addressing business needsWork with scrum masters/program managers to track schedule against the roadmap, and escalate risks/ issues.Preferred Qualifications:Product Owner certification requiredMBA or equivalent strongly preferred10+ years of experience in Cloud Services/software/automation industry preferred4+ years of experience in Product Management preferredExperience in product owner responsibilities focused on Developer tools and Public Cloud Services, Software, Automation and Orchestration tools.Technical knowledge of Development tools, Public Cloud (preferably Azure) Containers, Platform-as-a-Service (PaaS), Data Analytics technologies and GenAI technologiesFamiliarity of GenAI technologies, Cloud automation, Devsecops and Application/Platform/Infrastructure security and monitoring tools preferred.Experience with Agile development/Scrum methodologies required.Leadership skills to take new challenges and creativity to take new approaches to problemsBS or equivalent required.Prior Product Owner background in software development and/or IT projects required.When you join our team:We’ll empower you to learn and grow the career you want.We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.As part of our global team, we’ll support you in shaping the future you want to see#LI-JHAbout Manulife and John HancockManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .Manulife is an Equal Opportunity EmployerAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .Referenced Salary Location Toronto, OntarioWorking Arrangement HybridSalary range is expected to be between $110,530.00 CAD – $205,270.00 CADIf you are applying for this role outside of the primary location, please contact for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.
General Motors – 2025 Fall Co-op Diagnostic Object Technical Project Contributor – Markham, ON
Company: General Motors
Location: Markham, ON
Expected salary:
Job date: Thu, 05 Jun 2025 04:42:43 GMT
Job description: Job DescriptionWork Arrangement:Hybrid – This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre three times per week, at minimum [or other frequency dictated by the business].About GM:At General Motors we pride ourselves on designing, building and selling the world’s best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on career specific experiences to maximize your real world potential.The Role:GM’s Diagnostic Infrastructure System and Object Artifact team is offering you an opportunity to rapidly develop your technical and leadership skills to become tomorrow’s most sought-after Diagnostic Professional.In this Co-Op opportunity, you will contribute towards two specific initiatives that are aligned with the enterprise goals of “Continuous verification of system level requirements” and “Developing an inventory of Diagnostic object artifacts”. Your skills with Python, GitHub, and Artificial Intelligence (AI) will be valuable in this position. You will interface with multiple cross-functional teams that span multiple areas of the business (e.g. Product development teams, Calibration teams, Verification teams, Manufacturing, Service, and Remote digital business teams). Some work initiatives will include innovating new test automation tools/scripts, automatically extract and link data from repositories, updating visualization boards, digitizing/documenting technical knowledge, and more. Success will be measured by how much you bolster and improve the overall health of the enterprise diagnostic ecosystem.The value and benefit that you will gain from this Co-Op opportunity will include:Cross-organizational exposure that will allow you to see how teams across GM are organized and how they operate.Unique opportunity to interface with cross functional teams and influence how they perform their daily work.Rapidly build your network of diagnostic professional contacts who you will certainly have the chance to interface with you for many years to come.Sharpen your technical and leadership ship skills… specifically as a Diagnostic ProfessionalBuild soft skills such as documentation, communication, business acumen, etc.Roles & Responsibilities:Innovate new methods to efficiently execute tasksCreate test scripts for continuous verificationCreate scripts for automatic data extractionCreate scripts for automatic data verificationUse Artificial Intelligence (AI) tools and techniques to rapidly find solutions to problemsDevelop business insight by analyzing data and creating charts and graphsCollect complex technical information from diagnostic Engineers/Leads/FellowsDevelop process charts, training diagrams, case studies using Visio/Lucid/PowerPoint, etc.Develop requirements documentations, quick reference guides, training simulations to inform and sharpen diagnostic skills across GMPublish documentation such as training material, newsletters, web/SharePoint contentRequired Qualifications:Currently in the 3rd or 4th year of study in Electrical, Software, Mechanical, or Systems Engineering.Available for an 8-month term, with flexibility to extend to 8-12 months.Communication:Demonstrated excellence in oral and written communication skills.Ability to ask questions, seek clarification, and challenge norms to rapidly overcome challenges.Creative talent and effective use of drawing tools to create images, graphs, charts, etc., to convey messages.Technical Skills:Collecting, analyzing, and visualizing dataSkills required: SQL, scripts/Python, lookups/pivots/macros, graphs/chartsIs self-driven and can manage time appropriately to achieve a long-term goalPython Programming and Automation: Good understanding of Python for scripting, including test automation, task automation, and data wrangling.Familiarity with multiprocessing for parallel processing tasks.Power Apps: Basic knowledge of Power Apps for automating tasks.Basic skills in Power BI for creating and managing dashboards.Version Control: Basic knowledge of GitHub for version control and collaboration.Preferred Skills:Demonstrated experience using AI tools and techniques to solve problemsPractical or academic exposure to embedded controls system theory and diagnostic designDemonstrated proficiency with engineering technical writing and presentationsHigh level of interpersonal skill to work effectively with cross functional teamsSponsorship: PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN CANADA NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIPNOTE- YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM’S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.For more information about GM Canada, visit our website atGeneral Motors of Canada values diversity and is an equal opportunity employer.About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Non-Discrimination and Equal Employment OpportunitiesGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit .AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Yelp – Senior Machine Learning Engineer – Content and Contributor Intelligence (Remote – Canada) – Toronto, ON
Company: Yelp
Location: Toronto, ON
Expected salary:
Job date: Sat, 29 Mar 2025 04:49:40 GMT
Job description: SummaryYelp engineering culture is driven by our : we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on.This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.What you’ll do:
- Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
- Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
- Work with large and complex textual and visual datasets.
- Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
- Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
- Productionize and automate model pipelines within Python services.
- Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.
What it takes to succeed:
- Experience developing and productionizing machine learning models, particularly in neural networks and computer vision, including their supported data pipelines.
- Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
- Strong coding skills in Python or equivalent (Java, C++).
- Solid understanding of engineering and infrastructure best practices.
- The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
- We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
What you’ll get:
- Compensation range is $101,000-237,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
- This opportunity has the option to be fully remote in all locations across Canada.
- You can find more information about Yelp’s five star benefits
!ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.#LI-Remote
Yelp – Staff Machine Learning Engineer – Content and Contributor Intelligence (Remote – Canada) – Toronto, ON
Company: Yelp
Location: Toronto, ON
Expected salary:
Job date: Sat, 29 Mar 2025 06:59:26 GMT
Job description: SummaryYelp engineering culture is driven by our : we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems. You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on.This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.What you’ll do:
- Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
- Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
- Work with large and complex textual and visual datasets.
- Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
- Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
- Productionize and automate model pipelines within Python services.
- Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.
What it takes to succeed:
- Experience developing and productionizing machine learning models, particularly in neural networks and computer vision, including their supported data pipelines.
- Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
- Strong coding skills in Python or equivalent (Java, C++).
- Solid understanding of engineering and infrastructure best practices.
- The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
- We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
What you’ll get:
- Compensation range is $135,000-274,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
- This opportunity has the option to be fully remote in all locations across Canada.
- You can find more information about Yelp’s five star benefits
!ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 1-415-969-8488.Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.#LI-Remote