Senior Software Dev Engineer

작업 내용

About Us

Yahoo! Gemini is a first-class global Native advertising platform serves Native advertisement on Yahoo! properties such as Yahoo! Homepage, Sports, Finance, and external publishers sites such as Apple, Microsoft and Samsung. Gemini team is building next-generation technologies to enrich our advertiser and user experience through complex scalable ad platforms, with ever growing and interesting challenges; and to integrate and onboard with world class publishers such as Microsoft, Apple, Samsung, Fox News, Ebay, ESPN, ABCNews, and etc.

Yahoo! Gemini serving platform consists of numerous robust and high performance applications running on multi-node UNIX clusters. It processes billions of queries, and generates millions of dollars every day. It is a complex system that provides opportunities for innovation, and problem solving. Developing new features and scientific models for this infrastructure presents many technical challenges in the areas of distributed computing, multi-terabyte storage systems, and high-performance computing. It demands knowledge of software design principles, systems programming, algorithms, data structures, and Java/C++. On our team you will analyze requirements; investigate optimal software solutions and ad matching techniques; architect, design, implement and test those solutions; and support our globally deployed advertising software.

Responsibilities

Senior Software Engineer with professional experience in machine learning, who is motivated by our mission and wants to ensure that our Native advertising platform plays a critical role in improving the experience of our users, publishers, and advertisers. The ideal candidate will have industry experience working on a range of online advertising products and ad matching technologies.

In this role you will have an opportunity to collaborate/engage with key engineering, science, and product stakeholders in defining an exciting and ambitious forward-looking strategies for the Gemini Native Ad Matching Team. You will research, analyze big data, design, develop, test, release, and sustain world-class ad matching ML models and software applications in a dynamic and exciting team. You will take personal responsibility to make key architectural decisions. You will directly work with product management, marketplace, and other outside organizations to understand and refine product requirements and goals. You will work across engineering and science teams in multiple locations to develop and/or improve existing ad matching technologies such as phrase, broad, and etc. You will lead and mentor other engineers throughout design and development.

Minimum Qualifications

Qualifications

/Requirements

• 5+ years of experience developing system/middleware software products on Linux/UNIX
• Proficient at C++/Java
• Object-oriented programming skills
• Understanding of data structures and algorithms
• Analytical and problem solving skills
• UNIX skills
• Industry experience with fault-tolerant system design and high-performance engineering
• Industry experience with SQL, HBase, PIG and Oozie technologies (desirable)
• Industry experience with building large scale, distributed, highly scalable and highly available Internet enabled enterprise server systems (desirable)
• Industry experience with Agile product development methodology (desirable)
• Strong verbal and written communication skills
• B.S. or M.S. in Computer Science (or equivalent experience)
  

Preferred Qualifications

• Experience manipulating and analyzing data from different sources
• Successful track record of delivering quality results in complex cross-functional project
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
• Personal commitment to continuous learning and self-development
• Ability to work well on a team with a positive attitude
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields (or equivalent experience)