דרושים Applied Researcher ב-איביי ב-India, Bengaluru

This is an opportunity to:

• Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering

• Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage

• Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users

• Develop and deploy state of the art AI models

• Deploy big data technology and large scale data pipelines

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Qualifications

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI

• Experience leading a nimble engineering/research team, preferably in a ML/AI technology environment

• Experience with using cloud services, big data pipelines and databases

• Experience in Natural Language Processing (NLP) and industrial recommender systems

• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high volume traffic webapp development in an industrial setting

• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus.

Links to some of our previous work:

• (GenAI Agentic Platform)

This is an opportunity to:

• Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering
• Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage
• Influence how customers will interact with shipping AI systems in the future and drive AI technology evolution and adoption
• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of users
• Develop and deploy state of the art AI models
• Deploy big data technology and large scale data pipelines
• Drive marketplace revenue, margin and customer delight by driving lower shipping costs, faster delivery speed and accurate product classifications for international shipments

Qualifications

• MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI
• Experience leading a nimble applied science team, preferably in a ML/AI technology environment
• Experience with using cloud services, big data pipelines and databases
• Experience in Machine Learning, Deep Learning, Natural Language Processing (NLP) and Large Language Models
• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high-volume traffic webapp development in an industrial setting
• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

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 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

• 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!

Minimum Qualifications

• ​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

What you will accomplish:

• Work with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, including billions of items and millions of users

• Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers, working with a global team of applied researchers and ML engineers

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Publish research work in Tier 1 conferences as well as write IP and tech blogs

What you will bring:

• BS in Computer Science or related area with 5+ years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred.

• Experience with building personalized recommender systems or other forms of personalization technology

• Python and PyTorch framework

• Hands on engineering skills to build and deploy ML models in production on prem or using cloud services

• Experience in Java/Scala is a plus

• Experience with big data pipelines (Hadoop, Spark) is a plus

• Experience with Large Language Models (LLMs), prompt engineering, and GenAI coding assistants is a plus

Links to some of our previous work:

• (GenAI Agentic Platform)

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 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

• 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!

• BE/B.Tech with 5+ years of relevant Industry experience. ​

• Post Grad from in Computer Science, Statistics and Mathematics with 3+ years of relevant experience.

• ​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, SQL, Spark

• ​Excellent verbal and written communication and collaboration skills

• ​Significant track of publications at top-tier conferences and published patents.

• Open source tool building/commits to popular threads.

• Experience on Language models and KG building

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 and at the same time highly values your personal well-being

Key Responsibilities

• Drive Strategy & Vision : Partner with senior leadership, product management, and other stakeholders to define and execute the machine learning roadmap aligned with business goals.

• Team Leadership : Lead, mentor, and grow a team of ML scientists and engineers. Create an environment that encourages innovation, high performance, and career development.

• Technical Oversight : Guide and review the development of machine learning models and data pipelines, ensuring scalability, scientific validity, and production readiness.

• Cross-Functional Collaboration : Collaborate with Product and Analytics teams to scope projects, prioritize initiatives, and ensure seamless data and model integration.

• Operational Excellence : Define project goals, success metrics, and delivery timelines. Ensure effective resource allocation and continuous improvement in team processes.

• Foster Scientific Rigor : Uphold high standards of experimentation, measurement, and peer review. Promote the use of reproducible research and robust evaluation practices.

• Data Strategy : Partner with the operations and data teams to ensure access to high-quality labeled data, and proactively shape data acquisition strategies where needed.

• Talent Development : Provide coaching and technical guidance to team members. Conduct performance reviews, identify skill gaps, and invest in team capability building.

• Hiring

Minimum Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field with 6+ years of relevant industry experience, including 3+ years in people management.

• Proven experience leading machine learning teams in an applied industrial setting.

• Deep understanding of modern ML approaches including classification, regression, NLP, clustering, deep learning, and/or reinforcement learning.

• Strong programming background in Python, Java, or similar, with exposure to production-grade ML systems.

• Proficiency with big data processing frameworks such as Hadoop, Spark, and SQL.

• Excellent communication, storytelling, and stakeholder management skills.

• Demonstrated ability to translate business needs into scientific problems and to prioritize for impact.
  

Additional Qualifications

• Master’s or Ph.D. in a relevant field (Computer Science, ML, Stats, etc.)

• Track record of impactful publications and/or patents in machine learning or related areas.

• Contributions to open-source ML tools or frameworks.

• Experience with modern large language models, graph-based ML, or knowledge graph construction.

• Strong presence in scientific communities through talks, panels, or organizing roles.
  

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 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

• 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!

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field with 10+ 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

• ​Significant track of publications at top-tier conferences and published patents.

• Open source tool building/commits to popular threads.

• Experience on Language models and KG building