Senior Data Scientist

1 week ago


San Jose, California, United States Glocomms Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Glocomms. As a key member of our engineering team, you will play a critical role in building and maintaining high-performance, scalable, and reliable systems.

Key Responsibilities
  • Develop and implement advanced forecasting models to optimize ad budget allocation for advertisers.
  • Design and innovate monetization products that boost engagement and revenue.
  • Contribute to the development of a large-scale Ads system, leveraging expertise in Machine Learning techniques.
  • Enhance Ads algorithms through the application of Machine Learning and NLP technologies.
  • Drive the success of our rapidly growing organization with speed and quality.
Requirements
  • Proficiency in programming, debugging, and optimization in languages such as Go, C/C++, or Python.
  • Strong critical thinking and problem-solving skills, with a deep understanding of algorithms.
  • Expertise in one or more of the following areas: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
  • Experience with Machine Learning in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, or full-stack development.
Preferred Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience.
  • Professional experience in machine learning, data mining, data analysis, or distributed systems.
  • Strong product sense and experience in designing and implementing product features.
What We Offer

As a Senior Machine Learning Engineer at Glocomms, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the growth and success of our organization.

We offer a competitive salary, comprehensive benefits package, and a relocation package for the right candidate.

Locations for Onsite work: San Jose, CA


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