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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:
$210,400 - $280,900These jobs might be a good fit

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Write clean, efficient, testable code in Java/Kotlin and Python.
Apply modular design principles and ensure clear separation of concerns across service boundaries.
Support the integration, deployment, and optimization of AI/ML models to enhance product functionality and system performance.
Partner with cross-functional teams—including ML, data, product, and other engineering groups—to deliver high-quality solutions for eBay’s marketplace.
Use AI-driven tools and modern engineering practices to accelerate development and improve productivity.
Participate in architectural discussions and contribute to shaping the direction of backend and applied AI/ML systems.
Proven software engineering experience with a strong focus on backend systems and production-grade services.
Proficiency in Java/Kotlin and Python , with the ability to write clean, efficient, and maintainable code.
Deep understanding of backend architecture, distributed systems, modular design principles, and core system design fundamentals.
Strongly preferred experience with:
Applied AI/ML model integration
Hugging Face
PyTorch
Spring Boot
NoSQL databases
Spark
Ability to learn new technologies quickly and effectively leverage AI tools to enhance engineering workflows.
Bachelor’s or Master’s degree in Computer Science or a related field.
6–8 years working in software engineering roles.
Excellent communication skills and a track record of collaborating successfully with geographically distributed teams.
A passion for building high-quality, scalable software that delivers meaningful customer impact.
The base pay range for this position is expected in the range below:
$115,200 - $199,700These jobs might be a good fit

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What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.
Experience with large language models and large vision-language models is required.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Outstanding research track record.
Excellent communications skills.
You will also be eligible for equity and .
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$156,000—$234,000 USDThese jobs might be a good fit

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alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language
What you'll be doing:
Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.
Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.
Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
PhD in Computer Science or Computer Engineering (or equivalent experience).
At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects
A history ofresearch successexemplified by a strong publication record and awards.
Excellent knowledge of theory and practice of deep learning and natural language processing.
Background in LLM training, alignment, and evaluation is expected.
Excellent programming skills in Python and PyTorch.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Excellent communications skills.
You will also be eligible for equity and .
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About the role:
The Quality Technician I role in Core Tech Polymers (CTP) is the first point of contact for production personnel regarding quality issues. The quality technician is responsible for documenting non-conforming events as well as identifying and segregating impacted material. The position requires creative thinking and investigation skills to resolve problems that arise on extrusion production floor. The quality technician will be responsible for supporting multiple production lines to keep material flowing and assuring quality requirements are maintained throughout the process. Technical aptitude will be a key component as much of the technician role involves working with technology systems including MES, SAP, downtime tracking, and DataMetrics among others.
Your responsibilities will include:
Required qualifications:
Preferred qualifications:
Maximum Salary: $ 63856
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
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Job Purpose
In Operations, provide daily support of products, processes, materials, and equipment to achieve production goals (i.e., quality, delivery, cost, productivity, and safety).
Key Responsibilities
Education & Experience
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These jobs might be a good fit

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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:
$210,400 - $280,900These jobs might be a good fit