Applied Scientist, Recommendations

eBay; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking an Applied Scientist to join their innovative Recommendations team. This role involves developing state-of-the-art machine learning models and deploying them in a high-traffic e-commerce environment. You will work on cutting-edge recommender systems powered by AI, impacting how millions of users interact with an expansive inventory. The position offers a collaborative environment where your contributions will help shape the future of e-commerce, making shopping experiences more personalized and engaging. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.

Benefits

Maternal & Paternal Leave

Paid Sabbatical

Comprehensive Benefits

Financial Security Plans

Qualifications

• 3+ years of experience in ML/AI/Data Engineering.
• Experience in production engineering practices and OO languages.
• Experience in AI applied research and recommender systems.

Responsibilities

• Build data pipelines for model training and inference.
• Develop and deploy innovative models for recommendations.
• Track AI advancements and apply techniques to large datasets.

Skills

Machine Learning

Natural Language Processing

Data Engineering

Software Development

Big Data Processing

Education

MS in Computer Science

BS/BA in related area

Tools

Hadoop

SQL

Spark

Pyspark

Cloud Services

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.

Our Recommendations team works on delivering item recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.

We are exploring a new generation of recommender systems powered by Large Language Models and other emerging paradigms in AI. We are looking for an Applied Scientist and innovator who can drive state of the art ML modeling and get systems into production at eBay scale as we expand our recommendations to live video auctions for eBay Live.

This Is An Opportunity To

• Build data pipelines needed to support user input, recall and ranking, model training and inference, working with architects and other engineering peers.

• Track the fast paced world of AI and apply innovative techniques to unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users.

• Develop and deploy innovative models in the context of recommender systems.

• Deploy big data technology and large scale data pipelines to create magical AI applications and user experiences.

• Have a real impact on how shoppers interact with one of the world's largest ecommerce marketplaces to find what they love every day.

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations.

Qualifications

• MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering

• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)

• Experience in AI applied research, preferably in Natural Language Processing (NLP), deep learning, and industrial recommender systems

• Experience in big data processing and analysis, e.g. Hadoop, SQL, Spark, Pyspark is required

• Experience with using cloud services, big data pipelines and databases

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/

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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 [e-mail]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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Please see the Talent Privacy Notice 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 [e-mail]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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