Senior Machine Learning Engineer

1 week ago


Bengaluru, Karnataka, India myGwork Full time

This role is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

About MyGwork

myGwork is dedicated to promoting diversity, equity, and inclusion in the workplace. As a valued member of our community, you will have access to exclusive job listings, networking events, and career resources tailored to the LGBTQ+ community.

About Amazon

Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile, and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across US, EU, and an increasing number of international geographies.

The Challenge

We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.

Your Role

You will be working on creative machine learning algorithms and thrive in a fast-paced, fun environment. An Applied Scientist is responsible for solving inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning, and advanced clustering.

Key Responsibilities:
  • Solve complex problems in advertising fraud detection using machine learning and deep learning techniques
  • Design and develop innovative algorithms to improve traffic quality
  • Collaborate with cross-functional teams to integrate machine learning models into production environments
  • Analyze large datasets to identify trends and insights that inform business decisions
Requirements

To succeed in this role, you should have:

  • A PhD or Master's degree in Computer Science, Engineering, or related field
  • 4+ years of experience in machine learning, data mining, and statistics
  • Experience programming in Java, C++, Python, or related languages
  • Experience with Unix/Linux operating systems
  • Strong knowledge of algorithms, data structures, and numerical optimization
Estimated Salary Range:

$200,000 - $300,000 per year



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