Research Engineer

Key Skills

Agile methodologies, Analytical and Problem solving, Apache Hadoop, AWS, Continuous Integration & Continuous Delivery - CI/CD, Design, Effective communication skills, HBase, Java Programming, Machine learning techniques, Management, MLOps tools, Planning and organization, Python Programming, Scala Programming, SPARK Programming

Job Description

A Little About Us

People would like to shop online day by day, especially in the post-pandemic period. At Yahoo, our mission is to connect hundreds of millions of people around the world to the things they love. Commerce is one of our ways and is a fast-growing business for Yahoo in the US. We are the US Commerce Data Science team, crafting product personalized services, recommender systems, and search ranking through data-driven approaches. As we expand commerce experiences to Yahoo ecosystems – such as Yahoo Shopping (https://shopping.yahoo.com/), Homepage, Lifestyle, Mail, Web Search, and In The Know – quality improvement and performance stability are vital pillars to advancing our services. Join us to develop the recommender models, search ranking, and robust data aggregation / preprocess pipelines.

A Lot About You

As a member of the US Commerce Data Science team, the Research Engineer will play a critical role in innovating and exploring use cases, resolving problems in creative and flexible ways, and building and enhancing recommender models, search ranking, and data pipelines. You can work on novel machine learning technologies, real-life web-scale challenges, unique e-commerce domain, and complex challenges with top-notch engineers. You have access to the internet-scale amount of data and powerful Hadoop/Spark clusters that consist of thousands of computing nodes. What you do will meaningfully contribute to the bigger success of the company.

Day to day of the role

This role will work seamlessly with product managers and engineers around the world to enrich user experience from data-driven approaches, such as machine learning, information retrieval, and statistics. You will be a major problem-solver, model designer, and service contributor to resolving obstacles and supporting product requirements in analytical, practical, realistic, and agile ways. You will code in Java/Scala/Python on the Unix platform to build recommender applications that handle a massive scale of data within milliseconds. 

Minimum Qualifications

• B.S./M.S/PhD. in Computer Science or equivalent.
• 4+ years of experience in machine learning or recommender systems. 
• Good coding skills and experience in OOP. Python/Java/Scala are preferred.
• Good communication and collaboration skills to work with people from various technical backgrounds and geographical locations. 
• Excellent critical thinking, problem-solving skills, and time management. 
• Strong organization skills, coordinate complex projects and work independently.
• By applying to this position, you are required to locate in Taiwan. This role is eligible for visa sponsorship.

Preferable Qualifications

• Basic knowledge of Functional Programming.
• Excellent English oral and written communication skills.
• Experience in modern development methodologies like CI/CD, MLOps, and Agile methodologies.
• Experience in cloud technologies, such as Hadoop, Spark, HBase, Storm, and AWS services.

The Good Stuff

• Work at Yahoo - At Yahoo, We want every employee to have as much flexibility as their role allows. Working from home or working from the office? Your choice!
• Summer Friday - We know the importance of work/life balance and realize that some working habits may not have kept up with the times.
• Learning & Development - We have amazing programs you can enter to further grow your career, learn & develop new skills. We also provide you with a tuition reimbursement program for study.
• Health and Wellbeing - We offer employee assistance program (EAP), health club reimbursement, employee vacation program, office massage for you to relieve from stress and release of pressure.
• Work from Abroad Policy - the world as we know it has changed so if you need to travel back to your home country and work remotely, we have you covered.
• Phone & Tech - We will provide all the Apple goods to do your job well.

Join us to immerse yourself in an energetic environment, closely access yourself to cutting edge technology and participate yourself in the exciting and dynamic Internet Industry! Apply Now!

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.