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Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the team and the role:

We are seeking an experienced Machine Learning Performance Engineer with a profound knowledge of computer architecture, interconnect fabrics, machine learning accelerators, ML Toolchains, ML model quantization. This role requires a blend of expertise in software and hardware to enhance the performance and efficiency of machine learning systems. The ideal candidate will have a strong background in optimizing machine learning models through a comprehensive understanding of the entire computing stack, from high-level algorithms down to the hardware level.

What you will accomplish:

Design and optimize software and hardware systems to improve the performance of machine learning workloads.

Collaborate with multi-functional teams to develop scalable, efficient, and high-performance machine learning solutions that use advanced machine learning accelerators.

Develop and optimize toolchains that improve the efficiency of machine learning models on specialized hardware.

Analyze and optimize the interconnects between different hardware components to minimize latency and improve throughput in machine learning applications.

Conduct in-depth performance analysis, identify bottlenecks, and implement solutions at both the software and hardware layers.

Stay abreast of the latest advancements in machine learning technologies, toolchains, computer architecture, and hardware accelerators to drive innovation within the company.

What you will bring:

PhD or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

Extensive experience in system-level programming and optimization, with a deep understanding of computer architecture, interconnect fabrics, memory systems, toolchains.

Proficiency in designing, evaluating, and optimizing hardware systems for machine learning applications, with specific knowledge of machine learning accelerators.

Strong proficiency in programming languages such as Python, C, and experience with machine learning frameworks like PyTorch2.

Understanding of machine learning algorithms, data structures, and software-hardware interaction principles.

Experience with parallel programming, multithreading, synchronization.

Ability to solve complex software systems and optimize code for performance enhancements.

Strong communication skills, with the ability to work collaboratively in a multi-disciplinary team environment.

#LI-AZ1

#LI-Hybrid

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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