Senior Machine Learning Engineer

3 weeks ago


San Jose, California, United States Hireio, Inc. Full time
Job Description

Hireio, Inc. is seeking a skilled Senior Machine Learning Engineer to join our Brand Ads Team. This team owns several ads products, including reservation ads, auction ads, and innovative content ads that enable advertisers and users to foster brand awareness and achieve business goals.

We are looking for engineers with strong problem-solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with globalized engineering and product teams in a high-impact and fast-paced environment.

Key Responsibilities:

  • Build forecasting models to allow advertisers to efficiently spend ad budgets.
  • Create innovative monetization products that drive engagement and revenue.
  • Participate in the development of a large-scale Ads system.
  • Participate in the development and iteration of Ads algorithms using Machine Learning.
  • Work on NLP and CV-related technology for content understanding and taxonomy.

Requirements:

  • Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages.
  • Ability to think critically and formulate solutions to problems in a clear and concise way.
  • Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
  • Experience with one or more of the following: Machine Learning in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.

Preferred Qualifications:

  • BS degree in Computer Science, Computer Engineering, or other relevant majors, with 5+ years of related work experience.
  • Relevant professional experience with machine learning, data mining, data analysis, distribution system.
  • Good product sense and experience designing and implementing product features.


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