Software Engineer, Real-Time Recommendations

eBay; Amsterdam; On-site; EUR 90,000 - 150,000; Full time

Job summary

eBay, Amsterdam-based, seeks a Software Engineer to design, implement, test, and deploy scalable recommendation features. You will collaborate with product managers, engineers, and research leaders to build, launch, monitor, and improve personalized shopping experiences at scale.

You will work with a team skilled in ML, NLP, and AI, applying latest advancements in ranking and recommender systems, and contribute to real-time recommendations across web and mobile apps.

Qualifications

• Bachelor’s degree with 5+ years of relevant experience OR Master’s degree with 4+ years.
• Expertise with object-oriented languages such as Java, Scala, or similar production languages in a high-scale distributed setting.
• Experience with large-scale real-time systems, data pipelines, streaming or batch processing, and distributed data platforms like Hadoop, Kafka, Spark, Flink, or comparable technologies.
• Experience with Python, ML pipelines, feature engineering, model integration, model evaluation, or timely LLM workflows is a plus.
• Ability to work independently on prioritized areas and communicate assumptions, risks, and tradeoffs clearly.
• Experience with search, recommendations, personalization, experimentation, or ML systems is strongly preferred.
• Experience in A/B testing, experiment configuration, launch evaluation, and data-guided iteration is a plus.
• Publications or patents/technical blogs are a plus.

Responsibilities

• Drive engineering delivery of high-traffic search and recommendation experiences at eBay.
• Develop and maintain large-scale production services, feature pipelines, model integration points, and experimentation workflows.
• Work with large-scale distributed systems handling high-volume traffic, distributed data stores, billions of daily impressions, and low-latency SLAs.
• Collaborate with researchers and engineers across the team with ML and NLP expertise.
• Translate feature requests into build options, implementation plans, and production launches.
• Support iterative A/B testing by enabling experiments and analyzing results.

Skills

Java

Scala

Object-oriented design

Distributed systems

Hadoop

Kafka

Spark

Flink

Python

ML pipelines

LLM workflows

A/B testing

Academic papers

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Hadoop

Kafka

Spark

Flink

Job description

eBay, Amsterdam-based, seeks a Software Engineer to design, implement, test, and deploy scalable recommendation features. You will collaborate with product managers, engineers, and research leaders to build, launch, monitor, and improve personalized shopping experiences at scale.

You will work with a team skilled in ML, NLP, and AI, applying latest advancements in ranking and recommender systems, and contribute to real-time recommendations across web and mobile apps.