AI Software Engineer, eBay
Leading online marketplace
Be an early applicant
Leading online marketplace
1001+ employees
Be an early applicant
1001+ employees
Company mission
To connect people and build communities to create economic opportunity for all.
Role
Who you are
- We are seeking an experienced AI Software Engineer with a background in research, data science, LLM training, fine-tuning, prompt-engineering
- You will ideally have experience working with LLMs, DLRM, data engineering, and general ML algorithms
- PhD or MS Degree in Computer-Science, Machine-learning, Software Engineering, or a related field
- Proven experience in software development using languages such as Python and deploying applications in production systems on Kubernetes with CI/CD pipelines
- Familiarity with big data technologies like Hadoop, Spark, or Kafka
- Solid understanding of AI and machine learning concepts
- Experience developing or AI background to develop techniques for extracting knowledge from multi-modal data, including natural language processing (NLP), computer vision, and audio analysis
- Proficiency in developing and optimizing data pipelines for GPU acceleration using frameworks like CUDA, CuGraph, Rapids, TensorFlow, or PyTorch, specifically with multi-modal data
- Experience with multi-modal machine learning models and techniques
- Knowledge of techniques for fusing information from multiple data modalities
- Experience with GPU profiling and optimization tools
- Ability to work effectively in a collaborative team environment
- Excellent problem-solving, analytical, and communication skills
- Ability to work collaboratively in a cross-functional team and with stakeholders across the organization
What the job involves
- The AI Platform Team is the engineering engine that powers every stage of our company’s machine‑learning and AI application pipeline
- We operate and continuously optimize vast GPU fleets—thousands of accelerators spread across multiple data centers—using custom priority‑aware scheduling and autoscaling to keep utilization high and costs low
- Beyond infrastructure, we deliver a fully integrated toolkit that automates data ingestion, model training, fine‑tuning, deployment, monitoring, and governance, while also giving developers self‑service environments for prompt engineering, experimentation, and rapid iteration
- Because we own the complete MLOps lifecycle, we can push cutting‑edge models and end‑to‑end AI application solutions from inception through production in days rather than months, ensuring research ideas become reliable, secure, and high‑impact products used worldwide
- Design, develop, and optimize scalable software solutions and algorithms for AI applications, with a core focus on knowledge extraction and reasoning. Ensure efficient performance across diverse environments, especially leveraging GPU acceleration for both training and inference
- Build, maintain, and enhance robust data ingestion and processing pipelines, with a particular emphasis on extracting latent knowledge from multiple data modalities including text, images, video, and structured data
- Develop AI services (e.g., recommendation engines, fraud detection, semantic search) leveraging knowledge graphs and machine learning models. Collaborate with cross-functional teams for seamless integration and new feature implementation
- Engage in the complete project lifecycle: design, implementation, deployment, architectural reviews, and monitoring, following product team specifications
- Provide high-speed prototypes and proof-of-value demos to demonstrate the value of different types of AI algorithms in unlocking value from large volumes of internal data
- Participate in code reviews and uphold software development best practices, proposing improvements and adopting new technologies (e.g., graph databases, GPU frameworks) as needed
- Address high-priority (P1/P0) support issues to minimize service disruptions and ensure the reliability of AI services
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
Company Specialist at Welcome to the Jungle
Insights
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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