ML Engineering
ebayinc
Job Description
Job Responsibilities
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Collaborate with Management and Product Management on shaping the department’s vision and roadmap
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Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure
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Seek scientifically valid solutions that deliver real value to eBay customers
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Carefully measure your output and impact in order to learn and improve over time
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Collaborate with Operations team to ensure the quality of any human-labeled data required
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Build Machine Learning models and data pipelines to deliver insightful yet practical solutions
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Mentor more junior peers, as well as review their work and provide frequent feedback and advice
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Promote Scientific rigor and standards, as well as code quality and craftsmanship within the team - especially among your less experienced peers
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Present key technical and novel research work in public forums and conferences
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Help interview and hire additional, exceptional teammates!
Minimum Qualifications
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BE/B.Tech with 10+ years of relevant Industry experience
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M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 7+ years of industrial experience in Applied Machine Learning
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Industrial experience with multiple of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
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Significant Experience in Production-grade coding in a high-level language such as Python or Java
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Experience in Big Data processing frameworks, e.g. Hadoop, SQL, Spark
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Excellent verbal and written communication and collaboration skills
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Thought leadership and mentoring skills
Additional Qualifications
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5 or more related publications/patents in quality conferences or journals
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Open source tool building/commits to popular threads.
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Experience on Language models and KG building
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