Yelp – Principal Product Manager – Applied ML (Remote – Canada) – Toronto, ON

Company: Yelp

Location: Toronto, ON

Expected salary:

Job date: Fri, 16 May 2025 23:23:52 GMT

Job description: SummaryWe are looking for a seasoned Principal Product Manager to join the Applied Machine Learning Product team at Yelp. This team works horizontally with a broad set of stakeholders and has an ambitious charter to accelerate AI/ML-driven outcomes across the company. In this role, you will operate across a range of vertical problem spaces, deeply understand priorities for these areas, identify the right opportunities for the introduction of AI/ML, and drive product initiatives through the life cycle.Given the cross-team nature of the role, you will drive outcomes through a combination of directly owned initiatives as well as collaborating and advising on active ML initiatives owned by other Product Managers. You will also have the opportunity to lead adoption of critical ML applications and technologies across the company (e.g., large language models, user personalization, intent understanding), and consequently have a deep impact on the consumer and business owner experience. A successful PM in this role is able to be strategic and clear-headed about what investments to make. You can seamlessly wear multiple hats, handle a range of contexts & problem spaces, build trust with stakeholders, and drive initiatives forward in a matrixed org structure. You are also comfortable working on 0-1 problem spaces and enjoy the process of turning ambiguous opportunities into well-defined product investments.Past experience working on ML applications is required. That said, we are looking for candidates who are strong generalist PMs, technical, and are able to comfortably operate across a variety of problem spaces.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:

  • Understand problems being solved by leaders from Product, Engineering, and other groups within the company and identify where ML can help accelerate outcomes
  • Drive product outcomes through a combination of direct initiative, ownership, and influencing and advising on the roadmap of other product teams
  • Own a horizontal ML problem space (e.g., personalization), scope opportunity and identify ML capability to build; ensure adoption of these capabilities across multiple vertical teams
  • Collaborate with other ML PMs on the team to shape the roadmap for their areas in alignment with your charter

What it takes to succeed:

  • Past experience with building ML applications.
  • Comfortable navigating ambiguity, able to operate as a strong generalist across multiple problem spaces, and excited to turn ambiguous opportunities into product investments.
  • Thrive and excel at building trust with a wide set of product partners.
  • Strong foundational product skills—including product sense, execution, design thinking, problem discovery, and analytics— with the ability to apply your understanding of ML to drive impactful product outcomes.
  • Strong executive communication skills. This role will involve directly communicating with C-Suite leadership. You can get into the weeds to understand complex details, then distill that information for executive audiences and help them make informed decisions.
  • Comfort with both product strategy and operational execution.
  • 8+ years of product management experience.

What you’ll get:

  • Compensation range is $202,000-243,000 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

OpenTable – Applied Machine Learning Scientist (Early Career) – Toronto, ON

Company: OpenTable

Location: Toronto, ON

Expected salary: $120000 – 150000 per year

Job date: Fri, 20 Jun 2025 00:40:08 GMT

Job description: This will be a remote role to start, with plans to transition to hybrid in-office 2x/week located in downtown Toronto.**Please note: We are unable to provide visa sponsorship at this time.Why this role at OpenTable?OpenTable seats 25 million diners each month across 60,000+ restaurants and taps into more than 20 years of booking data-an ideal launchpad for an early-career ML scientist. In our tight-knit team, every experiment you run and every model you ship goes live quickly and at scale. You’ll start with well-scoped projects and close mentorship, then rapidly earn the freedom to pitch and implement research ideas that deliver measurable value for diners, restaurants, and the business. We celebrate agency, speed, and relentless experimentation, balanced by disciplined prioritization rooted in ML expertise and real-world production and business constraints.Responsibilities:

  • Research & Productionise Prototype, validate, and deploy ML models that power search, ranking, recommendations, pricing, and conversational recommendation systems.
  • Data Pipelines Build reliable pipelines in PySpark; ensure reproducibility, lineage, and monitoring.
  • Experimentation Design online A/B tests, define success metrics, and analyse results to inform product decisions and areas of further experimentation.
  • Tooling & Best Practices Contribute to internal ML libraries for training, evaluation, debugging, and interpretation; champion code quality and reproducibility.
  • Research Awareness Stay current with ML/RL literature, and constantly evaluate new models

Must-Have Qualifications:

  • Education Recently completed BSc, MSc, or PhD in Computer Science, Statistics, Mathematics, or a closely related technical field.
  • Technical Skills
  • Hands-on experience training, tuning, and debugging both classical models (e.g., GBDTs) and deep-learning models (primarily Transformers).
  • Python proficiency and fluency with the scientific/ML stack: one of PyTorch / TensorFlow / JAX, core libraries (NumPy, Pandas, scikit-learn), and at least one gradient-boosting toolkit (XGBoost, LightGBM, or CatBoost).
  • Strong command of algorithms, data structures, and object-oriented design.
  • Applied ML Expertise
  • Detecting & mitigating target leakage, train-test temporal skew, data drift, and other common pitfalls in building production models.
  • Translate business objectives into quantifiable ML metrics (e.g., MRR, MAP, precision/recall, AUC, F1, NDCG) and choose appropriate loss functions (e.g., Plackett-Luce, cross-entropy, focal loss) to optimise them.
  • High Agency & Ownership Demonstrated ability to identify opportunities, form hypotheses, and drive projects that align with business objectives with minimal supervision.
  • Communication & Collaboration Clear written/verbal communication and a collaborative mindset.

Nice-to-Have:

  • Reinforcement Learning Hands-on RL experience-especially fine-tuning LLMs toward verifiable objectives or applying RL/bandits in recommendation and ranking-is a strong plus.
  • Domain Expertise Background in learning-to-rank, recommender systems, conversational agents, or NLP.
  • Portfolio: Open-source contributions, Kaggle medals, blogs or peer-reviewed publications that replicate and extend academic research.
  • Production ML Ops Experience with Spark, Airflow, Docker/Kubernetes, feature stores, and model observability/monitoring.

OpenTable strives to provide a fair, collaborative, and balanced work environment.Benefits and Perks:

  • Generous paid vacation + time off for your birthday
  • Work from (almost) anywhere for up to 20 days per year
  • Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year – the whole team fully recharges (and returns without a pile-up of work!)
  • Paid parental leave
  • Paid volunteer time
  • Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousands of on-demand e-learnings
  • Travel Discounts
  • Employee Resource Groups
  • Private health and dental insurance
  • Life and Disability insurance

There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this Toronto, Canada based role is $120,000-$150,000 CAD.We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.Diversity, Equity, and InclusionAt OpenTable, we aspire to be a workplace that fosters inclusion and reflects the diverse communities we serve. Hiring people with different backgrounds and perspectives is critical to innovation and to how we deliver great experiences for our users, partners, and teams. We strive to be an open and welcoming environment so that no matter who you are, you can be yourself.We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation(s).

Amazon – Fall 2025 Applied Science Internship – Canada, PhD Student Science Recruiting – Toronto, ON

Company: Amazon

Location: Toronto, ON

Expected salary:

Job date: Sun, 01 Jun 2025 01:52:35 GMT

Job description: DESCRIPTIONAre you a PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work.To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location.For more information on the Amazon Science community please visit https://www.amazon.science.BASIC QUALIFICATIONS– Are enrolled in a PhD
– Are 18 years of age or older
– Work 40 hours/week minimum and commit to 12 week internship maximum
– Can relocate to where the internship is based
– Experience programming or scripting language like Python, Java, C or C++PREFERRED QUALIFICATIONS– Have publications at top-tier peer-reviewed conferences or journals
– Are enrolled in a academic program that is physically located in CanadaAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary for this position ranges from $149,300/year up to $249,300/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.

Applied Scientist, Outbound Communications – Amazon – Vancouver, BC

Company: Amazon

Location: Vancouver, BC

Expected salary:

Job date: Sat, 24 May 2025 05:57:25 GMT

Job description: , we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant marketing… messages across digital channels such as email, mobile and SMS. As an applied scientist in Outbound, you will be tasked…

Yelp – Lead Product Manager – Applied ML (Remote – Canada) – Toronto, ON

Company: Yelp

Location: Toronto, ON

Expected salary:

Job date: Fri, 16 May 2025 23:10:54 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.We are looking for a seasoned product manager (Senior or Lead PM) to join the Applied Machine Learning Product team at Yelp. This team works horizontally with a broad set of stakeholders and has an ambitious charter to accelerate AI/ML-driven outcomes across the company. In this role, you will operate across a range of vertical problem spaces, deeply understand priorities for these areas, identify the right opportunities for the introduction of AI/ML, and drive product initiatives through the life cycle.Given the cross-team nature of the role, you will drive outcomes through a combination of directly owned initiatives as well as collaborating and advising on active ML initiatives owned by other Product Managers. You will also have the opportunity to lead adoption of critical ML applications and technologies across the company (e.g., large language models, user personalization, intent understanding), and consequently have a deep impact on the consumer and business owner experience. A successful PM in this role is able to be strategic and clear-headed about what investments to make. You can seamlessly wear multiple hats, handle a range of contexts & problem spaces, build trust with stakeholders, and drive initiatives forward in a matrixed org structure. You are also comfortable working on 0-1 problem spaces and enjoy the process of turning ambiguous opportunities into well-defined product investments.Past experience working on ML applications is required. That said, we are looking for candidates who are strong generalist PMs, technical, and are able to comfortably operate across a variety of problem spaces.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:

  • Understand problems being solved by leaders from Product, Engineering, and other groups within the company and identify where ML can help accelerate outcomes
  • Drive product outcomes through a combination of direct initiative, ownership, and influencing and advising on the roadmap of other product teams
  • Own a horizontal ML problem space (e.g., personalization), scope opportunity and identify ML capability to build; ensure adoption of these capabilities across multiple vertical teams
  • Collaborate with other ML PMs on the team to shape the roadmap for their areas in alignment with your charter

What it takes to succeed:

  • Past experience with building ML applications
  • Comfortable navigating ambiguity, able to operate as a strong generalist across multiple problem spaces, and excited to turn ambiguous opportunities into product investments
  • Thrive and excel at building trust with a wide set of product partners
  • Strong foundational product skills—including product sense, execution, design thinking, problem discovery, and analytics— with the ability to apply your understanding of ML to drive impactful product outcomes
  • 5+ years of product management experience

What you’ll get:

  • Compensation range is $98,000-233,000 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

Thomson Reuters – Applied Research Intern (NLP/ML/GenAI) – Toronto, ON

Company: Thomson Reuters

Location: Toronto, ON

Expected salary:

Job date: Fri, 16 May 2025 02:04:53 GMT

Job description: Summary:Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.This Thomson Reuters Labs team contributes to several major products that serve research and workflow products to tax and accounting professionals. It is the fastest-growing segment of our company, in terms of organic revenues. We are looking for internship candidates on the cutting edge of AI to join us in delivering automation to our tax and accounting customers through transformative enhancements to these products.About the role
As a data scientist/research scientist intern, you will:Experiment and Develop: You can be involved in the entire model development lifecycle, building, testing, and delivering high-quality solutions.Collaborate: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.Innovate: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.About You:PhD student or MSc recent graduate in a discipline relevant to NLP/IR/ML/Statistics,Practical and relevant experience building NLP/IR/ML systems, from ideation to implementation,Software engineering skills for prototyping,Proficiency in implementing solutions using Python, DL frameworks, and relevant tools,Experience in using code collaboration and versioning systems such as GitHub,Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud,Data-driven problem-solving and decision-making mindset,Curious and innovative disposition capable of proposing outside-the-box solutions,Comfortable in communicating (verbal and written) complex AI solutions to audiences with diverse technical backgrounds.Preferred qualifications:Ability to translate academic research into working prototypes and experience experimenting with novel NLP/IR/ML models to solve real-world problems,Familiarity with generative AI and large language models (LLMs),Self-driven attitude and ability to work with limited supervision,Team player and comfortable collaborating with internal team members and external stakeholders,Comfortable working in fast-paced, agile environments, managing uncertainty and ambiguity,Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or similar venues are a bonus.The preferred length of an internship position is 8 months.#LI-SS​What’s in it For You?At Thomson Reuters, our people are our greatest assets. We offer an enriched internship program that focuses on developing your skills while gaining access to a network of peers and leaders across our global organization. Bringing your whole self to work is at our core. Here’s how we support your growth:Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions.Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.Social Impact: We offer interns volunteer opportunities to make an impact in the community.Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation .Learn more on how to protect yourself from fraudulent job postings .More information about Thomson Reuters can be found on

Applied Scientist, Recommendations – eBay – Toronto, ON

Company: eBay

Location: Toronto, ON

Expected salary:

Job date: Wed, 30 Apr 2025 05:47:55 GMT

Job description: At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We’re in this together, sustaining the future of our customers, our company, and our planet.Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.Bring your passion for applied data science to a high-impact marketing team at eBay! eBay has consistently been the leader in market share of paid marketing partners like Google, Bing, Facebook and Pinterest. Are you interested in solving cutting edge research problems while impacting all eBay advertising channels?Does working with Big Data, cloud computing, large-scale optimization, probabilistic inference, and machine learning excite you? If you answered yes, the Marketing Science team at eBay is the right place for you. We are looking for a motivated Data Scientist to join our team.You will be directly responsible for improving eBay’s algorithms that drive customer traffic via Marketing channels. You will work on cutting-edge ML/optimization algorithms against one of the biggest datasets in the world. You’ll work with world-class data scientists and engineers. You’ll solve problems that have a direct impact on a multi-billion dollar business. Bring your ideas, energy, and dedication to reach and engage the next 100M eBay users.We are developing personalization technologies and optimization strategies that have a direct impact on eBay’s customers as well as the company’s bottom line. You will be expected to research state-of-the-art machine learning algorithms, optimization, natural language processing, text mining, and other techniques, and apply them to eBay’s marketing platforms. You will roll out your solutions to production, analyze results offline and online, and measure the impact.ResponsibilitiesAggregate huge amounts of data and information from large numbers of sources to discover patterns and create features necessary to build machine learning models that match eBay’s inventory with customers’ demand. Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay.Qualifications

  • PhD or MS in computer science, engineering or related field.
  • Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Python, Java, C/C++, Scala).
  • Expertise in specialized areas such as Deep Learning, NLP, Statistical modeling, Probabilistic Inference, Machine Learning, Data engineering, Recommendation Systems.
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
  • Knowledge of SQL is required.
  • Strong written and verbal communication skills, ability to work with large cross-functional teams of technical and non-technical members.
  • Strong analytical and research skills proven through publications in reputed conferences/journals or supporting demonstration of innovation.
  • Experience with site experimentation (A/B testing, Time splicing)

Encouraged Experience

  • PhD – at least 3 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • M.S. – at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • Experience with online advertising is a plus
  • Proven Professional background in Software Engineering with a focus on Object Oriented, Back End Development is a plus

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay’s commitment to ensuring digital accessibility for people with disabilities.The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.

eBay is a leading global ecommerce platform, empowering buyers and sellers in over 190 markets. The company emphasizes innovation, authenticity, and inclusivity in its work culture while aiming to create economic opportunities for all users. They are seeking a motivated Data Scientist for their Marketing Science team, which focuses on improving marketing algorithms and utilizing cutting-edge machine learning and data processing technologies.

Key responsibilities include analyzing large datasets, building machine learning models, and implementing solutions to enhance customer engagement. Candidates should possess advanced degrees in computer science or related fields, strong programming skills, and experience in data engineering. eBay values diversity and aims to create an inclusive work environment. They offer a comprehensive range of benefits to support employees at all life stages. eBay is an equal opportunity employer that strives for accessibility and inclusivity in the workplace.

Senior Applied Scientist – eBay – Toronto, ON

Company: eBay

Location: Toronto, ON

Expected salary:

Job date: Wed, 30 Apr 2025 06:37:10 GMT

Job description: At eBay, we’re more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We’re in this together, sustaining the future of our customers, our company, and our planet.Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to be with.Bring your passion for applied data science to a high-impact marketing team at eBay! eBay has consistently been the leader in market share of paid marketing partners like Google, Bing, Facebook and Pinterest. Are you interested in solving cutting edge research problems while impacting all eBay advertising channels?Does working with Big Data, cloud computing, large-scale optimization, probabilistic inference, and machine learning excite you? If you answered yes, the Marketing Science team at eBay is the right place for you. We are looking for a motivated Data Scientist to join our team.You will be directly responsible for improving eBay’s algorithms that drive customer traffic via Marketing channels. You will work on cutting-edge ML/optimization algorithms against one of the biggest datasets in the world. You’ll work with world-class data scientists and engineers. You’ll solve problems that have a direct impact on a multi-billion dollar business. Bring your ideas, energy, and dedication to reach and engage the next 100M eBay users.We are developing personalization technologies and optimization strategies that have a direct impact on eBay’s customers as well as the company’s bottom line. You will be expected to research state-of-the-art machine learning algorithms, optimization, natural language processing, text mining, and other techniques, and apply them to eBay’s marketing platforms. You will roll out your solutions to production, analyze results offline and online, and measure the impact.ResponsibilitiesAggregate huge amounts of data and information from large numbers of sources to discover patterns and create features necessary to build machine learning models that match eBay’s inventory with customers’ demand. Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay.Qualifications

  • PhD or MS in computer science, engineering or related field.
  • Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Python, Java, C/C++, Scala).
  • Expertise in specialized areas such as Deep Learning, NLP, Statistical modeling, Probabilistic Inference, Machine Learning, Data engineering, Recommendation Systems.
  • Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required
  • Knowledge of SQL is required.
  • Strong written and verbal communication skills, ability to work with large cross-functional teams of technical and non-technical members.
  • Strong analytical and research skills proven through publications in reputed conferences/journals or supporting demonstration of innovation.
  • Experience with site experimentation (A/B testing, Time splicing)

Encouraged Experience

  • PhD – at least 3 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • M.S. – at least 4-5 years of industrial/professional experience (Not counting Internships or Co-Ops) working in a production environment in a related field.
  • Experience with online advertising is a plus
  • Proven Professional background in Software Engineering with a focus on Object Oriented, Back End Development is a plus

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/company/diversity-inclusion/Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay’s commitment to ensuring digital accessibility for people with disabilities.The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.

eBay is a global leader in e-commerce, dedicated to transforming how the world shops and sells. The company supports millions of buyers and sellers across 190 markets and emphasizes innovation, inclusivity, and sustainability. They seek passionate individuals to join their marketing science team, focusing on applied data science and machine learning to enhance customer engagement and drive traffic.

The position requires candidates to have advanced degrees in relevant fields, strong programming skills, experience with big data processing, and a solid understanding of machine learning and optimization techniques. Successful applicants will work with significant datasets to develop algorithms that improve eBay’s advertising effectiveness, contributing to a multi-billion dollar business.

eBay offers comprehensive benefits and fosters a diverse and inclusive workplace where all employees can thrive. They are committed to equal opportunity employment and digital accessibility for individuals with disabilities.

McAfee – Applied Science Manager – Waterloo, ON

Company: McAfee

Location: Waterloo, ON

Expected salary:

Job date: Fri, 11 Apr 2025 06:38:11 GMT

Job description: Role Overview:At McAfee, we’re on a mission to leverage cutting-edge machine learning techniques to deliver personalized experiences, optimize pricing strategies, and make a tangible impact on our customers’ lives. Join our Consumer ML team and help shape the future of AI-driven solutions in a collaborative, growth-oriented environment.As the Manager of Machine Learning Science, you will lead a team of ML scientists dedicated to applying advanced ML principles to build algorithms and models that drive dynamic pricing and personalized recommendations. You will work hands-on with your team to ensure the design, implementation, and deployment of impactful AI & ML models aligned with McAfee’s business goals.In this hands-on leadership role, you will manage and mentor the ML Science team and collaborate closely with the ML Engineering and ML Data Engineering teams to develop scalable and robust ML solutions. Your leadership will be pivotal in blending innovation with practical implementation, ensuring that the models you create are optimized for performance and business impact. Additionally, you will contribute to McAfee’s broader AI and ML strategy, reporting directly to the Senior Manager of Consumer Machine Learning and ensuring that the team’s work aligns with strategic objectives while fostering a culture of growth and continuous learning.This is a position based in Canada. We will only consider candidates in Canada and are not offering relocation assistance at this time.About the Role:

  • Leadership & Team Development: Lead and mentor a high-performing team of ML scientists. Foster a collaborative culture that promotes innovation, continuous learning, and technical excellence.
  • Strategic Vision: Drive the ML Science strategy for pricing, recommendation systems, and personalized consumer experiences, aligning efforts with McAfee’s objectives to optimize customer value.
  • Model Development: Oversee the design, implementation, and delivery of ML models using user behaviour and subscription data to enhance personalization and product value. Familiarity to traditional and classical ML is a plus.
  • Reinforcement Learning Implementation: Guide the team in applying reinforcement learning techniques, such as contextual bandits, SARSA, and Q-learning. Implement exploration-exploitation strategies like epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making frameworks for pricing and recommendation engines.
  • Cross-Functional Collaboration: Work closely with teams across Marketing, Product, Sales, and Engineering to ensure that ML solutions align with strategic objectives and deliver measurable business impact.
  • Optimization & Experimentation: Lead the team in creating algorithms for optimizing consumer journeys, increasing conversion rates, and driving monetization strategies. Design and execute controlled experiments (A/B and multivariate tests) to validate and improve model performance.
  • Research & Knowledge Sharing: Stay at the forefront of ML science, contributing to the development of new algorithms and applications. Share knowledge through internal presentations, publications, and participation in academic or industry forums.

About You:

  • 8+ years of experience in machine learning, with 3+ years in a leadership role managing ML scientists. You’ve demonstrated the ability to drive technical innovation and mentor teams.
  • Proven track record in at least one of the following: Implementing AI/ML personalization techniques to enhance consumer/customer product experiences; Developing AI/ML-based dynamic pricing and personalized offer strategies for pricing optimization, or Creating customer/consumer churn and propensity models specifically for digital subscription use cases
  • Expertise in classical ML and deep learning techniques (XGBoost, Random Forest, SVM, deep neural networks, etc.), reinforcement learning techniques (contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
  • You are proficient with ML libraries like PyTorch, Scikit-learn, and others. You have a strong background in feature engineering, model validation, and evaluation metrics.
  • You possess a deep understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability) and are driven by solving complex problems. You have a track record of researching and applying new ML techniques to solve real-world challenges.
  • You are an effective communicator who can explain complex ML concepts to technical and non-technical stakeholders. You excel in collaborating with cross-functional teams to align ML models with business goals.

#LI-REMOTECompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

  • Bonus Program
  • Pension and Retirement Plans
  • Medical, Dental and Vision Coverage
  • Paid Time Off
  • Paid Parental Leave
  • Support for Community Involvement

We’re serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Thomson Reuters – Senior Applied Scientist – Toronto, ON

Company: Thomson Reuters

Location: Toronto, ON

Expected salary:

Job date: Fri, 04 Apr 2025 02:32:42 GMT

Job description: Senior Applied Scientist, NLP/IR/GenAIAre you excited about working at the forefront of applied research in an industry setting? in Canada is seeking scientists with a passion for solving problems using state-of-the-art natural language processing, information retrieval, and generative AI.What does do? We experiment, we build, we deliver. We support the organization and our customers through applied research in natural language processing and informational retrieval. We innovate collaboratively with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team in Labs Legal Tech is designing the next generation of Legal Technology globally. We drive AI innovation for Thomson Reuters’ and features, including .About the RoleSenior Applied Scientists are experts in NLP / IR / ML / GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters’ products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.As a Senior Applied Scientist, you will:

  • Lead an applied research team throughout the full product development life cycle from ideation and PoC through to production scaling and feedback driven iteration.
  • Be fully accountable for all research deliverables in your projects,
  • Provide input to the business and Labs leadership on long-term AI strategy,
  • Lead and drive stakeholder engagement with other functions (Product, Engineering, Design),
  • Develop in-depth knowledge of customer problems and data,
  • Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property,
  • Identify state of the art technology relevant to TR products and leverage them to create value for TR customers,
  • Mentor and coach scientists and engineers on best practices and fostering a culture of innovation, collaboration and continuous learning.

About YouYou’re a fit for the role of Senior Applied Scientist if your background includes:

  • PhD in a relevant discipline or master’s plus a comparable level of experience,
  • 5+ years of hands-on experience building NLP / IR systems for commercial applications,
  • Experience writing production code and ensuring well-managed software delivery,
  • Demonstrable experience translating complex problems into successful AI applications,
  • Professional experience scaling yourself and leading through others, in an applied research setting,
  • Outstanding communication, problem-solving, and analysis skills,
  • Experience collaborating with Product, Engineering and other business stakeholders in an agile manner to demonstrate value and iterate with customer feedback.

Technical qualifications:

  • Solid understanding of classic ML techniques used for NLP problems,
  • Solid understanding of DL approaches used for NLP tasks such as transformer-based models,
  • Working understanding of inner workings of large language models,
  • Experience working on text heavy NLP projects,
  • Practical experience using generative AI technologies (prompt engineering, in-context learning, chain-of-thoughts, prompt optimization, auto-evaluation, function calling, controlled generation, etc.)
  • Practical experience using RAG frameworks, pre-training/fine-tuning language models, and data curation/generation for training/fine-tuning language models,
  • Practical experience using agentic frameworks (such as LangGraph, AutoGen, Semantic Kernel, etc.) for building applications,
  • Proficiency in Python, Git, AWS, Azure for remote model development and deployment,
  • Experience building lightweight UIs, iterating on greenfield concepts, applying agile development practices and rapid prototyping.

Preferred qualifications:

  • Prior work on search and question answering from large corpora and/or long document summarization,
  • Experience building applications for the legal domain, such as document review or document drafting,
  • Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, KDD or similar conferences and venues.

#LI-GK1What’s in it For You?You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $140,000 – $260,000. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.AccessibilityAs a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.Protect yourself from fraudulent job postings to know more.More information about Thomson Reuters can be found on .