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
Job Responsibilities- 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
- Engage with the eBay Science community promote standard scientific methodologies and processes in your field
- Present key technical and novel research work in public forums and conferences
Minimum Qualifications- M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field
- 1-3 years (with Ph.D.) or 3-5 years (with M.Sc.) of industrial experience in Applied Machine Learning
- Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
- Experience in Production-grade coding in a high-level language such as Python or Java
- Experience in Big Data processing frameworks, e.g. Hadoop, Hive, Spark
- 2 or more related publications in quality conferences or journals
- Excellent verbal and written communication and collaboration skills
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