Machine Learning Performance Engineer Lead, eBay

Salary not provided
Python
C
PyTorch
Senior and Expert level
Amsterdam
eBay

Leading online marketplace

Open for applications

eBay

Leading online marketplace

1001+ employees

B2CRetailLifestyleMarketplaceSustainabilityConsumer GoodseCommerce

Open for applications

Salary not provided
Python
C
PyTorch
Senior and Expert level
Amsterdam

1001+ employees

B2CRetailLifestyleMarketplaceSustainabilityConsumer GoodseCommerce

Company mission

To connect people and build communities to create economic opportunity for all.

Role

Who you are

  • The Generative AI team at eBay Core AI is looking for highly qualified candidates for a full-time Machine Learning Performance Engineer Lead position in our Amsterdam office
  • 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
  • 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
  • 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

What the job involves

  • 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
  • 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

Our take

Founded in 1995 as an online auction platform primarily catering to collectibles, eBay quickly emerged as a pioneer in connecting buyers and sellers in the digital realm. This early success propelled eBay to become to globally recognized leader it is today.

In the present landscape, eBay competes with industry giants like Amazon within the C2C eCommerce sector. However, eBay distinguishes itself by fostering an environment where businesses can cultivate and promote their brands on the platform, offering a tailored, community-driven experience for both sellers and buyers. By championing small businesses, eBay attracts sellers and socially conscious consumers, positioning itself in stark contrast to Amazon's corporate image.

The rising consumer interest in sustainability has presented economic opportunities for eBay, particularly as younger demographics gravitate toward purchasing pre-owned items. in response, eBay has directed its marketing efforts toward Gen Z customers and formed partnerships with cultural phenomena like Love Island, further solidifying its appeal among contemporary audiences.

Freddie headshot

Freddie

Company Specialist

Insights

Some candidates hear
back within 2 weeks

13% employee growth in 12 months

Company

Company benefits

  • Comprehensive and competitive health and wellness program designed to meet your unique needs.
  • We strive to provide programs that help support both mind and body, including quality healthcare insurance, wellness programs and preventative care.
  • Stock Purchase Plans
  • Retirement Savings and Pension Plans
  • Stock Awards
  • Life Insurance and Disability Benefits
  • Credit Union Memberships
  • Balancing work & life - eBay believes in providing you with the opportunity to be your best self in your professional and personal life. In addition to supporting flexible workstyles including hybrid and remote, eBay offers 4 weeks of paid sabbatical time for every 5 years of service
  • Giving back to our community - We provide our employees around the globe with opportunities to have a positive impact on their local communities. Through the eBay Foundation, our company matches donations to eligible nonprofits up to $10,000 per employee per year. And our employee-led volunteer groups organize local giving and volunteering activities throughout the world

Company HQ

Greylands, San Jose, CA

Leadership

Jamie Iannone

(CEO, not founder)

Studied at Princeton and Stanford University. Held executive roles at Walmart, Barnes & Noble, and The Children's Place, before becoming CEO of eBay in April 2020.

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