Research Scientist (Machine Learning)

About Knorex

Founded in 2009, Knorex (https://knorex.com) is a technology company that provides programmatic advertising products and solutions to marketers to connect in real-time to their desired audience worldwide. Through its flagship universal marketing platform, Knorex XPO unifies the connectivity to each of the major marketing channels including social media, search, connected TVs/OTTs, video, audio, display/native, and email, in one place, while simplifying execution and optimization across these channels through AI automation. Knorex operates across the US and APAC.

Why Knorex

We are constantly on the lookout to recruit the best and the brightest - from engineering to sales to account management to operations and HR.

Knorex offers you many different opportunities to scale your ambition and creativity far and beyond. We embrace a dynamic and pragmatic way of doing things, setting ourselves up for long term achievement yet relentlessly focused on delivering the short term goals. If you love the joy of building stuffs and seeing them grow, growing yourself and others in the process, and challenging yourself to do stuffs that you once thought impossible, we invite you to explore a career with us.

Key Responsibilities

In this role, you will conduct in-depth research on machine learning algorithms and statistical techniques to build highly accurate models. We work on high-stakes applications where a 1% improvement in accuracy may translate to hundreds of thousands of dollars in ad revenue. You need to acquire a deep technical understanding of the platform to help you formulate and solve the machine learning problem. You will also design novel techniques to deal with real-world challenges such as missing data, noisy user feedback, huge data volume, and partially observable data due to personal data protection regulations.

• Work as part of our research and prototyping (R&P) team to solve challenging engineering tasks specifically relating to digital advertising and real-time bidding
• Collaborate with other teams to transform technologies, research work into prototypes or customer products
• Provide research guidance to junior members in the data science team
• Evaluate and identify new technologies for prototyping
• Evaluate feedback and challenging issues gathered by the business and technical teams and transform them into tractable problems to resolve.
• Safeguard of confidential information within Knorex as well as information entrusted to us by external parties

Requirements

• Strong programming skills in at least one scripting or object-oriented language (e.g. Python, Java, ...)
• Solid understanding of machine learning and deep learning techniques
• Strong hands-on experience with Tensorflow/PyTorch and other machine learning toolkits such as Scikit-learn or Spark MLlib
• Strong research profile as demonstrated by publications in top ML/data mining conferences (e.g., NIPS, ICML, ICLR, SIGKDD, AAAI, IJCAI, WSDM, WWW, CIKM, etc.)
• Pick up new technologies and domain fast, excellent problem-solving skills
• Able to work independently as well as in collaborative mode with minimum supervision
• Good process management and excellent follow-through
• Excellent communication in written and spoken English
• Work productively even under pressure
• Possess good work ethic and attitude
• Good awareness about information security and confidentiality

Benefits

• Competitive remuneration package including quarterly bonus payout.
• SHUI as law stipulated, 14 days AL
• MacBook provided
• Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health and wellbeing.
• Work from home benefit.
• Quarterly recognition program and long service reward.
• Career growth and personal development scheme.
• You will have the advance to influence and drive the changes, at Knorex we welcome good ideas and accept any possibility to make our company great.
• We offer great learning opportunities, you will have exposure in cutting edge performance marketing and advertising technology.
• Opportunity to work cross-country and with variety of projects of a different nature.