דרושים Applied Researcher ב-איביי ב-United States, San Jose

As an Sr. Applied Research technical lead at eBay, you will be at the center of how multi-modal intelligence is applied across products. You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across eBay.

Metrics and Reporting:

Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production

Tools and Technical Fluency

Ph.D. in AI or equivalent research experience. Proficiency in Python and PyTorch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. PyTorch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )

Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.

Quality and Attention to Detail
Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.

The base pay range for this position is expected in the range below:

As an Sr. Applied Research technical lead at eBay, you will be at the center of how multi-modal intelligence is applied across products. You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across eBay.

Metrics and Reporting:

Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production

Tools and Technical Fluency

Ph.D. in AI or equivalent research experience. Proficiency in Python and PyTorch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. PyTorch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )

Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.

Quality and Attention to Detail
Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.

The base pay range for this position is expected in the range below:

What you will bring:

Minimum Requirements: Ph.D., or foreign equivalent, in Computer Science, Statistics, or Mathematics, or a related field. Employer will also accept a master’s degree in Computer Science, Statistics, Mathematics or a related field plus one year of experience in the job offered as an Applied Researcher or a related occupation.

Special Skill Requirements:

Demonstrated ability with the following:

1. One or more of the following: classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related.

2. Python or R, and Java or Scala or C/C++.

3. Big data processing and analytics, e.g. Hadoop, SQL, or Spark.

4. Conducting research in statistics, machine learning or highly related field.

Salary: $180,128.00-234,850.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

What you will bring:

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Statistics, Analytics, Mathematics, or a closely related field plus 18 months of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Large Language Model including finetuning and pretraining
2. Chaining Techniques and Retrieval-Augmented Generation
3. Knowledge Graph modeling, construction and applications
4. Leveraging high-performance computing resources, including GPU utilization with platforms like NVIDIA CUDA
5. Cloud-based Machine Learning Platform
6. Advanced Data Engineering and Pipeline Development: e.g. Apache Airflow
7. Distributed Data Processing language: Spark
8. Machine Learning Algorithms and Frameworks: e.g. Pytorch, Tensorflow
9. Transformer Architecture, including models like GPT, BERT, and T5

Salary: $148,699.00-205,700.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

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