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Senior Software Engineer, Machine Learning

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full-time

Posted on:

Location Type: Office

Location: Shenzhen • 🇨🇳 China

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Job Level

Senior

Tech Stack

PythonPyTorchTensorflow

About the role

  • 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.

Hard skills
Machine Learningstatistical modelingdata collectiondata aggregationdata analysisdata visualizationMLOpsPythonPytorchTensorflow
Soft skills
problem-solvingscientific rigoriterationcross-functional collaborationcommunication
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