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Machine Learning Engineer, 3+ Years of Experience

hace 2 meses


Ciudad de México, Ciudad de México Snap Inc. A tiempo completo
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Snap Inc. As a Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that drive value for our users, advertisers, and the company.

Key Responsibilities
  • Create and deploy machine learning models that improve the user experience and drive business results
  • Evaluate technical tradeoffs and make informed decisions to optimize model performance
  • Collaborate with cross-functional teams to integrate machine learning models into our products
  • Develop and maintain high-quality, scalable, and reliable machine learning infrastructure
Requirements
  • Strong understanding of machine learning concepts and algorithms
  • 3+ years of experience in machine learning engineering in industry
  • Bachelor's degree in a technical field such as computer science, mathematics, or statistics
Preferred Qualifications
  • Advanced degree in computer science or related field
  • Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
  • Experience working with machine learning, ranking infrastructures, and system design
What We Offer
  • Competitive salary and equity package
  • Opportunity to work on cutting-edge machine learning projects
  • Collaborative and dynamic work environment
  • Professional development opportunities
About Snap Inc.

Snap Inc. is a technology company that believes in the power of human connection. We are committed to creating innovative products that improve the way people live and communicate. Our team is passionate about building fun and technically sophisticated products that reach hundreds of millions of users around the world.

We are an equal opportunity employer and are committed to diversity and inclusion in the workplace. We believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.