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eBay also happens to be 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
Lead a team of around 10 Applied Researchers
Collaborate with Upper Management and Product Management on shaping the department’s vision and roadmap
Help define and refine project scopes, goals, metrics, and timelines
Help and empower the team to seek and find scientifically valid solutions that deliver real value to eBay customers
Ensure careful measurement of the team’s output and impact in order to learn and improve over time
Maintain and improve high standards in Scientific enquiry, Engineering quality, and reporting fidelity and accessibility in the team
Facilitate collaboration with Operations team to ensure the quality of any human-labeled data required
Maintain up-to-date knowledge of the Data Science and Machine Learning world – and ensure the team members keep up with the pace as well
Mentor your team members, as well as review their work and provide frequent feedback and advice
Present key technical and novel research work in public forums and conferences
Drive collaboration with the academic world, including through hiring and providing mentorship for interns
M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field
5+ years (with Ph.D.) or 7+ years (with M.Sc.) of industrial experience in Applied Machine Learning
Experience leading a Research or Engineering team in an industrial capacity
Experience in mentoring Researchers in an academic capacity
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
5 or more related publications in quality conferences or journals
Excellent verbal and written communication and collaboration skills
Thought leadership and teaching skills
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