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Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
Job Title: Backend Engineer (CoreAI)
Location: Amsterdam Netherlands (Hybrid)
Team: CoreAI at eBay
About the team
CoreAI at eBay builds and operates large-scale AI systems that power experiences for hundreds of millions of users globally. We develop end-to-end AI platforms and servicesfrom data pipelines and model training to real-time inference and evaluationenabling product teams across eBay to deliver smarter faster and safer experiences. You will be at the cutting edge of the AI revolution working with state-of-the-art technologies and shipping production systems at massive scale. The position is a hybrid role requiring 3 days per week in the office.
What youll do
Design build and operate backend services for AI/ML systems including data ingestion feature stores model training pipelines and low-latency inference services.
Own production-grade APIs and microservices that integrate AI capabilities into eBay products and marketplaces.
Implement scalable cost-efficient and reliable distributed systems (e.g. streaming batch processing autoscaling service orchestration).
Collaborate with ML researchers and product engineers to translate models into robust secure and maintainable production services.
Optimize performance for high throughput and low latency; monitor observe and continuously improve system reliability (SLOs alerting on-call).
Ensure data and model quality through rigorous evaluation testing and CI/CD best practices.
Contribute to architecture decisions documentation and engineering standards across CoreAI.
Mentor peers participate in code reviews and help foster a culture of technical excellence.
What were looking for
Strong backend engineering experience building distributed systems and APIs in production.
Proficiency in Java Python and Kotlin programming languages
Experience with cloud infrastructure and container orchestration (e.g. AWS/GCP/Azure Kubernetes).
Familiarity with data platforms and streaming technologies (e.g. Kafka Flink/Spark object stores SQL/NoSQL).
Experience deploying and operating ML services (batch and real-time) model serving frameworks and feature stores is a plus.
Solid understanding of system design networking performance optimization and observability (metrics logs traces).
Knowledge of ML fundamentals and MLOps practices (versioning CI/CD for models A/B testing evaluation) is a plus; curiosity and willingness to learn are essential.
Strong problem-solving skills ownership mindset and ability to work cross-functionally in a fast-paced environment.
Bachelors/Masters in Computer Science Engineering or equivalent practical experience.
4 years of professional experience
Nice to have
Experience in Spark and Hadoop.
Experience with retrieval systems ranking recommendations search trust & safety NLP or generative AI.
Experience with GPU/accelerator orchestration and model optimization (quantization distillation Triton/TensorRT).
Experience with privacy security and compliance in AI systems.
Prior work at large scale (millions of users petabyte data high QPS).
What we offer
Impact at global scale: Ship AI systems that touch hundreds of millions of users across eBays marketplace.
Cutting-edge environment: Work with state-of-the-art tooling modern ML/LLM stacks and opportunities to collaborate with leading researchers.
Competitive compensation: Attractive salary performance-based bonus and RSU equity.
Benefits that support you: pension/retirement plan and wellness programs.
Time to recharge: Generous paid time off company holidays and flexible working hours.
Learning and growth: Access to conferences certifications internal tech talks and mentorship programs.
Career development: Clear growth paths regular performance feedback and opportunities to lead projects.
Modern developer experience: High-quality dev tools eBays own cloud GPUs for experimentation.
Inclusive culture: Diverse supportive team with ERGs and a focus on psychological safety.
Regular team events
Family-friendly: Parental leave and flexible schedules when you need them.
Amsterdam office perks:
Free gym in the building
Free lunch and stocked snacks/coffee
Free VanMoof electric bike rental
Commuting expenses reimbursed
Hybrid home/office environment
Beautiful centrally located office with quiet rooms
How to apply
Send your resume and a brief note about your most impactful production system or AI service youve built.
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