דרושים Applied Researcher T24 ב-איביי ב-India, Bengaluru

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

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.
  

What you will accomplish:

• Define research directions that will Influence how people discover eBay's inventory relevant to their interests and passions

• 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:

• PhD in Computer Science or related area with 10+ years of relevant work experience in Machine Learning / AI / NLP / LLM

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

• Strong track record of applied research supported by publications, blog articles or other demonstrations of knowledge of the field

• Experience with video understanding or video technology is a plus

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

• Experience acting as research lead, articulating research strategy

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

• 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

• 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

• ​2 or more related publications 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)

As Director, you will set the vision and lead the execution of a portfolio of high-impact research initiatives that blend applied science, scalable engineering, and domain expertise in commerce. You’ll be responsible for not only driving core innovation but also ensuring that cutting-edge models transition into production systems with measurable business impact.

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

Strategic Leadership & Vision

• Define and own the applied research strategy for the Product Knowledge Science group.

• Identify emerging research areas aligned with eBay’s business priorities, such as AI-driven taxonomy evolution, multimodal understanding (image + text), and dynamic knowledge graph enrichment.

• Partner with Product and Engineering leadership to set research roadmaps and deliver measurable impact.

Team Building & Talent Development

• Lead, mentor, and grow a high-performing team of applied scientists, machine learning engineers, and research managers.

• Foster a culture of innovation, scientific rigor, diversity, and technical excellence.

Technical Direction

• Oversee the design, development, and deployment of ML/AI systems related to entity resolution, attribute extraction, taxonomy generation, knowledge graph construction, and product normalization.

• Ensure best practices in experimentation, evaluation, and productionization of ML models.

• Promote open innovation by guiding contributions to conferences, patents, and open-source initiatives.

Cross-functional Influence

• Collaborate with partner teams to integrate applied research into end-user products.

• Influence senior stakeholders with data-driven recommendations and thought leadership.

• ​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 with 12+ years of relevant industry experience, including 3+ years in people and project leadership roles

• ​Industrial experience with multiple of the following: ML architecture, deployment optimization, classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related

• Experience managing cross-functional research or AI teams

• Ability to bridge long-term technology vision with short-term delivery goals

• Strong communicator with a track record of influencing senior leadership

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