ML Engineering TL / Architect T27

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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.

Machine Learning Engineer (T27), Product Knowledge Science Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!

Who Are We? ​The Product Knowledge team is at the epicenter of eBay's Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay's Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What Will You Do? ​We are looking for exceptional Machine Learning Engineers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle such diverse and challenging projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. Further, they help us design these separate projects and envision how they come together to create and power new experiences that surprise and delight our Customers. If you love a good challenge, and are good at handling complexity - we'd love to hear from you!

eBay is an amazing company to work for. Being on the team, you can expect to benefit from :

A competitive salary - including stock grants and a yearly bonus

A healthy work culture that promotes business impact and at the same time highly values your personal well-being

Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world's population, and takes every opportunity to make this clearly apparent

​Job Responsibilities Collaborate with Management and Product Management on shaping the department's vision and roadmap

Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

​Seek scientifically valid solutions that deliver real value to eBay customers

Carefully measure your output and impact in order to learn and improve over time

Collaborate with Operations team to ensure the quality of any human-labeled data required

​Build Machine Learning models and data pipelines to deliver insightful yet practical solutions

Mentor more junior peers, as well as review their work and provide frequent feedback and advice

Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers

​Present key technical and novel research work in public forums and conferences

Help interview and hire additional, exceptional teammates!

Minimum Qualifications ​BE / B.Tech with 10+ years of relevant Industry experience

M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 7+ years of industrial experience in Applied Machine Learning

​Industrial experience with multiple of the following : classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related

Significant Experience in Production-grade coding in a high-level language such as Python or Java

​Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark

​Excellent verbal and written communication and collaboration skills

Thought leadership and mentoring skills

Additional Qualifications ​5 or more related publications / patents in quality conferences or journals

Open source tool building / commits to popular threads.

Experience on Language models and KG building

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 talent@ebay.com. 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.

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 at talent@ebay.com. 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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