Utilize Machine Learning to enhance products and improve the shopping experience for users and merchants (recommendations, personalization, risk, fraud detection, search, etc.)
Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges
Navigate and resolve ambiguous problem definitions effectively with or without Product Manager support
Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics
Foster a fast-paced, high-iteration experimental culture to test and refine solutions quickly
Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes
Continuously explore and learn the latest technologies in the industry
Requirements
Significant prior success as a Machine Learning Engineer working on challenging problems at scale
3+ 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
Benefits
Career progression paths and opportunities to take on greater challenges that help you realise your ambitions.
Be part of a winning team on a journey to global scale.
Competitive compensation based on your performance.
Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.
Work-From-Anywhere benefit to enable you to thrive personally and professionally.
Inclusive and diverse workplace; equal opportunity employer.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.