A global web service company is hiring a Senior Java Software Engineer (Search Quality). They've built a fast, efficient, and reliable platform that handles 5+ billion job search queries every month. They are looking for engineering managers, who are passionate about coding, love intellectual challenges, are eager to learn, and want to work with a variety of technologies to solve interesting problems.
As part of a small collaborative team from engineering, operations and product management, you will work on areas such as feature extraction, document indexing, retrieval, and relevancy scoring. The team is constantly digging into the company's data available to analyze, inform and develop solutions to the right problems.
They also provide perks and benefits to enable their employees to do their best work possible, such as:
‐ Daily catered meals
‐ Endless snacks and drinks
‐ Incentive programs
‐ Wellness days and fitness classes
‐ Lots of open spaces and private areas to focus in their offices
‐ Casual dress code
‐ Design, develop, and maintain pipelines that create search indexes out of data from large databases
‐ Design and implement efficient algorithms for ranking search results, increasing recall, filtering spam, personalization, etc.
‐ Extract, cluster or classify high-quality features from unstructured data
‐ Continually improve search quality and performance
‐ Utilize code innovative tools to support rapid experimentation and learning
【会社概要 | Company Details】
Our client is a global innovative web service company. The company provides search engine for job listings in over 60 countries and 28 languages.
【就業時間 | Working Hours】
9:00 - 18:00; Flextime (Mon - Fri)
【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
【待遇・福利厚生 | Services / Benefits】
Social insurance, Transportation Fee
‐ Java experience
‐ Strong algorithms and statistics background
‐ Experience in information retrieval (IR) or machine learning (Lucene experience is a plus)
‐ Experience building solutions for high traffic web sites a plus
‐ Knowledge in clustering and classification techniques preferred