Senior Machine Learning Engineer

3 weeks ago


San Jose, California, United States Hireio, Inc. Full time
Why Hire Us?

We're a company that's passionate about helping imaginations thrive. Our platform is built to inspire creativity and bring joy to people's lives. We believe in the power of innovation and strive to make a positive impact on the communities we serve.

Our team is dedicated to developing cutting-edge technology that solves real-world problems. We're looking for talented engineers who share our vision and are eager to contribute to our mission.

As a Senior Machine Learning Engineer, you'll have the opportunity to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You'll be responsible for developing and optimizing our Ads system, including relevance models and strategies.

We're looking for candidates who are passionate about tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.

What You'll Do:
  • Develop and optimize our Ads system, including relevance models and strategies
  • Work on NLP capability improvement and query understanding, including query classification, seq2seq, NER, and knowledge graph
  • Research and develop Ads pacing algorithms, ads traffic control, and other related tasks
  • Partner with product managers and product strategy & operation team to define product strategy and features
Requirements:
  • BS degree in Computer Science, Computer Engineering, or other relevant majors
  • 5+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products
  • Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems
  • Ability to think critically and formulate solutions to problems in a clear and concise way
  • Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment


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