Senior Applied Researcher

0333 eBay Group Services GmbH; Kleinmachnow; Vor Ort; EUR 100.000 - 140.000; Vollzeit

Zusammenfassung

A leading e-commerce company in Kleinmachnow is seeking experienced Senior Applied Researchers to drive improvements in data-heavy processes. The ideal candidate will collaborate with management on project vision and goals, build advanced machine learning models, and mentor peers. Candidates should possess over 10 years of relevant experience in applied machine learning and a strong background in software engineering. This role offers competitive compensation, a collaborative culture, and the chance to make significant impacts in the field of e-commerce.

Leistungen

Competitive salary including stock grants and yearly bonus

Healthy work culture

Opportunity to impact through innovative projects

Qualifikationen

• 10+ years of industry experience in applied machine learning.
• M.Sc. or Ph.D. with 7+ years of experience in machine learning.
• Experience in classification, regression, NLP, clustering.

Aufgaben

• Collaborate with Management on shaping the vision and roadmap.
• Define and refine project scopes, goals, and metrics.
• Build Machine Learning models and data pipelines.

Kenntnisse

Applied Machine Learning

Data Science

Software Engineering

Collaboration

Mentoring

Ausbildung

M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics

BE/B.Tech with 10+ years of relevant industry experience

Tools

Python

Java

Hadoop

SQL

Spark

Jobbeschreibung

Overview

At eBay, 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 reinventing 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. 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 creates and uses eBay’s Product Knowledge — a vast Big Data system built from listings, transactions, products, knowledge graphs, and more. We have a mix of highly proficient people from fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We foster a strong culture of collaboration, with ample opportunity to learn, make an impact, and grow.

What Will You Do?

We are looking for seasoned Applied Researchers to join us and help lead improvements, automation, and scaling of our data-heavy processes. Our Senior Researchers tackle projects on Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. They help design these projects and envision how they come together to power new experiences for 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 while valuing your personal well-being
• Being part of a force for good — eBay truly cares about its employees, customers, and the world’s population, and takes every opportunity to make this clearly apparent

What you will accomplish:

• Collaborate with Management and Product Management on shaping the department’s vision and roadmap
• Help define and refine project scopes, goals, and metrics
• 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!

What you will bring:

• 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

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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 . 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.

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