Machine Learning Performance Engr Lead

7 maanden geleden


Amsterdam, Nederland eBay Voltijd

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

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.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

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**:
Do you want to make a huge impact on a large e-commerce website? Are you interested in solving groundbreaking research problems while impacting all eBay e-commerce channels? Does working with Artificial Intelligence, cloud computing, large-scale optimization, and large language models excite you? If this sounds like you, the Core AI team at eBay is the right place for you We are looking for Machine Learning Performance Engineer Lead with a diverse set of background to join us.

**Job Summary**:
**Key Responsibilities**:

- Design and optimize software and hardware systems to enhance 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.
- 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.

**Qualifications**:

- 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.
- 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.

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

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Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.


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