Senior ML Engineer (Query Science Team)

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 and the role:

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. ​The Query Science team is at the core of eBay’s Search product and it is composed of passionate professionals united in our mission to make searching and buying at eBay as efficient and enjoyable as possible. Innovation is at the heart of everything we do. We believe that by understanding the intent and behaviors of our buyers, we can tailor our services to provide the best possible shopping experience, setting new standards in the e-commerce industry. Join us, and be part of a forward-thinking company that values creativity, hard work, and innovation.

We are looking for a Senior Machine Learning Engineer, who takes pride in creating simple ML solutions to apparently-complex problems. Our Engineering tasks typically involve at least one of the following:

• Building a pipeline that processes up to billions of items; frequently employing ML models on these datasets

• Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items

• Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components

• Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality

If you love a good challenge, and are good at handling complexity - we’d love to hear from you!

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• Collaborate with Engineering and Product Management on shaping the department’s vision and roadmap

• Help design cross-team software infrastructure and integration methods

• Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

• Optimize software performance to achieve the required throughput and / or latency

• Work with your manager, peers, and Product Managers to scope projects and features

• Take part in cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

• Come up with a sound technical strategy to achieve the required results, taking into consideration the project goals, timelines, and expected impact

• Mentor more junior peers, as well as review their work and provide frequent feedback and advice

• Promote coding standards and craftsmanship within the team through careful code review, discussion and open, constructive feedback

• Take active part in knowledge sharing across the organization - both teaching and learning from others

• Passion and commitment for technical excellence

• Master’s or PhD in Computer Science, Artificial Intelligence, Information Retrieval, or a related field

• ​7+ years of software design and development experience, tackling non-trivial problems in backend service and/or data pipelines, including operation and monitoring

• Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design

• ​Comfortable using a variety of programming languages on a daily basis, such as Java/Scala, Python, C/C++

• Experience with Big Data processing solutions (Hadoop, Spark, …), microservice frameworks (e.g. Java Spring), NoSQL databases and/or distributed document storage solutions (Apache Ignite, Cassandra, Redis, Solr, …)

• Experience with cloud computing platforms and solutions (AWS, GCP, Kubernetes, …)

• ​Excellent verbal and written communication and collaboration skills

• Thought leadership and teaching skills

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