Machine Learning Engineer Depop

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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.

Depop is a peer-to-peer circular fashion marketplace where anyone can buy sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011 Depops diverse community has helped move resale into the mainstream where buying secondhand is no longer an alternative but how people of different ages now engage with fashion. Today more than 56 million registered users come to Depop to find great value express their own personal style and give clothes a longer life. We believe that everything you want already exists and our role is to help people discover it. From everyday essentials to vintage and designer finds Depop brings together a wide range of affordable styles in one place. Its a marketplace where anyone can clear out their wardrobe or build a business explore their style and take part in a more circular way to shop.

Powered by a team of over 500 people our company is headquartered in London with offices in New York.

Machine Learning AI NLP LLM/GenAI and RAG technologies. We work with large-scale marketplace data and modern ML infrastructure to develop and productionize solutions that improve how millions of buyers and sellers interact with the Depop marketplace.

This is an opportunity to:

• Influence how AI and Machine Learning shape the future of Depops global marketplace and customer experience.

• Work with large and unique datasets including structured and unstructured marketplace data representing millions of users and items.

• Develop and deploy state-of-the-art AI and ML models into production with direct measurable impact on buyers and sellers.

• Build and scale large data pipelines and distributed systems that support production ML applications.

• Partner across engineering product data and applied science teams to take ML solutions from experimentation through production.

• Contribute to modern ML infrastructure deployment monitoring and operational best practices at scale.

Qualifications

• MS in Computer Science or a related field with 5 years of relevant experience or BS with 7 years of relevant experience in Software Engineering Machine Learning AI or a related discipline.

• Experience building large-scale distributed applications and proficiency in an object-oriented or modern programming language such as Java Scala or Python.

• Experience working with NoSQL databases and key-value stores such as MongoDB or Redis.

• Experience building and supporting scalable data and ML pipelines.

• Strong problem-solving skills with a willingness to learn and adopt new technologies as needed.

• Experience with cloud platforms and cloud-native technologies.

• Experience with large-scale data processing technologies such as Spark or Hadoop is a plus.

• Experience productionizing Machine Learning or AI models and building supporting infrastructure is a plus.

• Experience with MLOps model serving monitoring observability and deployment automation is a plus.

• Experience with Large Language Models (LLMs) GenAI RAG and prompt engineering is a plus.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including RRSP eligibility various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.

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