Senior Software Engineer - Machine Learning

Your Adventure Ahead

• Utilize Machine Learning: Enhance our products and improve the shopping experience for both users and merchants. This includes leveraging machine learning in areas such as recommendations, personalization, risk, fraud detection, search, and more.
• Subject Matter Expertise: Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges.
• Handle Ambiguity: Navigate and resolve ambiguous problem definitions effectively with or without dedicated Product Manager support.
• Metrics Driven: Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics.
• Experimentation Culture: Foster a fast-paced, high-iteration experimental culture to test and refine solutions quickly.
• Collaboration: Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
• Curious: Interest in exploring and learning the latest technologies in the industry.

Essentials to Succeed

• Significant prior success as a Machine Learning Engineer working on challenging problems at scale
• 6+ years of industrial ML experience, with expertise in modeling and statistical modeling
• Good understanding of data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - aka MLOps
• Ability to develop ML Products with good engineering practice and mindset
• Strong desire to solve tough problems with scientific rigour at scale
• An understanding of the value derived from getting results early and iterating
• Education in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics
• Strong skills in Python and machine learning and deep learning libraries (Pytorch and Tensorflow)
• Passion to answer Product/Engineering questions with data
• Demonstrated use of AI tools (e.g. ChatGPT, Cursor) to develop new or improve workflows, enhance productivity, and drive efficiency at scale.