Requirements

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

Nice to Haves

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!

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