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Senior Machine Learning Engineer

1 month ago

Seattle, United States MDA Edge Full time
How to Apply: Interested candidates should submit their resume and a cover letter detailing their qualifications and experience related to the role.
Job Summary:
  • No. of Opening: Two (San Jose, CA & Settle, WA)
  • The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for seasoned engineers that have 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 a globalized engineering and product teams in a high-impact and fast-paced environment.
WHAT YOU'LL DO:
  • 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 by using Machine Learning.
  • Work on NLP and CV related technology for content understanding and taxonomy.
  • Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
QUALIFICATIONS:
  • BS degree in Computer Science, Computer Engineering or other relevant majors, with 3+ years of related work experience.
  • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
  • bility to think critically and to formulate solutions to problems in a clear and concise way.
  • Relevant professional experience with machine learning, data mining, data analysis, distribution system.
  • 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, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
  • Good product sense and experience designing and implementing product features.
REQUIRED SKILLS AND CERTIFICATIONS:
  • Go
  • C/C++
  • Python
  • Machine Learning
  • Deep Learning
  • NLP

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