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You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system , working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities.
Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways.
Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data.
Help advance eBay’s internal platform for GenAI applications, contributing reusable components, and APIs.
Monitor and optimize AI systems in production for performance, quality, and responsible AI use.
Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack.
Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback.
8+ years in software or machine learning engineering roles.
4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data.
2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models.
Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact.
Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT).
Hands-on experience with:
Docker & Kubernetes
Big Data technologies (e.g., Hadoop, Spark)
UI/UX considerations in application development
Bonus qualifications:
Working knowledge of Spring Framework
Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm)
Familiarity with vector stores (PgVector, FAISS, Pinecone)
Experience with C++ and CUDA for performance-critical components
Strategic thinker with a strong technical foundation and a bias for action.
Excellent communicator who can bridge the gap between research, engineering, and product.
Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem.
Strong commitment to building responsible, ethical, and impactful AI systems.
A collaborative, self-driven mindset and genuine excitement to push the boundaries of what’s possible with AI at eBay.
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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These jobs might be a good fit

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We’re also investing in , a specialized backend service for building AI agents to help engineers debug tasks. Written in TypeScript, Sage is part of our push to bring AI-powered tooling to the heart of our developer productivity ecosystem.
What You’ll DoThese jobs might be a good fit

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This role can be based out of our New York City office or remotely in the region.
Role ResponsibilitiesThese jobs might be a good fit

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This role can be based out of our New York City or Seattle offices or remotely in the United States.
The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following:
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This role can be based out of our East Coast offices or remotely in the United States.
This role specifically follows a weekend support model (Wednesday-Sunday, Saturday-Wednesday, or Friday-Tuesday, with the next two days as the week-off) and requires adherence to East Coast Hours (9am to 5pm EST). If you're passionate about being an Escalation Engineer working with our largest enterprise customers and are open to flexible, weekend-oriented scheduling, we encourage you to apply.
What you needYou should have 7+ years of relevant experience. We consider all candidates, with an eye for those who are self-taught, insatiably curious, and multi-faceted.
It’s crucial for every candidate that they can check off all of these boxes:
These jobs might be a good fit

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These jobs might be a good fit

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You will work closely with Software Engineers, Researchers, and Data Engineers across the full AI lifecycle: from early experimentation and prototyping to deploying production-grade AI systems that support millions of users. Your focus will include Multimodal Generative AI system , working with videos, images, and textual data, and contributing to both infrastructure and end-user capabilities.
Design, build, and optimize systems that use multimodal data and Generative AI architectures in scalable, reliable, and cost-effective ways.
Lead development of AI led user experiences, including those using videos, live-streams, images, audio and textual data.
Help advance eBay’s internal platform for GenAI applications, contributing reusable components, and APIs.
Monitor and optimize AI systems in production for performance, quality, and responsible AI use.
Stay current with the latest advances in AI/ML and apply a critical lens when integrating new models or tools into the product stack.
Drive iteration on design, implementation, and evaluation processes based on experimentation and team feedback.
8+ years in software or machine learning engineering roles.
4+ years of focused experience developing and deploying AI-centric systems that use visual or multimodal data.
2+ years building generative-AI systems, including systems that incorporate VLMs, diffusion models, or other multimodal models.
Proven success in taking AI-powered products from prototype to production, with an emphasis on maintainability, performance, and user impact.
Strong programming skills in Java or similar JVM languages, with working proficiency in Python and ML frameworks (e.g., PyTorch, TensorRT).
Hands-on experience with:
Docker & Kubernetes
Big Data technologies (e.g., Hadoop, Spark)
UI/UX considerations in application development
Bonus qualifications:
Working knowledge of Spring Framework
Familiarity with streaming data systems (e.g., Kafka, Flink, Beam, Storm)
Familiarity with vector stores (PgVector, FAISS, Pinecone)
Experience with C++ and CUDA for performance-critical components
Strategic thinker with a strong technical foundation and a bias for action.
Excellent communicator who can bridge the gap between research, engineering, and product.
Deep curiosity and hands-on experimentation with the evolving VLM/LLM ecosystem.
Strong commitment to building responsible, ethical, and impactful AI systems.
A collaborative, self-driven mindset and genuine excitement to push the boundaries of what’s possible with AI at eBay.
The base pay range for this position is expected in the range below:
$210,400 - $280,900These jobs might be a good fit