The Finance Recommendation team within the Content Service organization is building personalized recommendation in finance domains in various products, including MSN and Edge default home page, etc. Our team focuses on whole recommendation stack building, especially modeling, in different recommendation layers, including document understanding, segment recall, user profile modeling, personalized ranking, diversity optimization, etc.

If you’re looking for a team to utilize your ML skills to optimize user engagement of real products, grow your ML skills by iterating against users’ feedbacks and resolving real product challenges, then this is the team for you!

Responsibilities

As an applied scientist in the team, your major responsibilities including:

• Thinking through product scenarios and goals, identifying key challenges and designing experimental processed for iteration and optimization.
• Offline model training and optimizing, collaborating with the platform team on online serving and perf optimization for shipping.
• Keeping track of research trends in the fields of personalized recommendation, deep learning and AI.
• Work independently and collaboratively with other research teams and product teams.

Qualifications

Required:

• Master / PhD in computer science or related fields focus on machine learning and AI.
• 3+ years’ experiences in areas of machine learning, natural language processing or large-scale data mining.
• Solid coding skill and good experience on deep learning frameworks like PyTorch, TensorFlow, CNTK, etc.

Preferred:

• Working / research experiences in the area of recommendation a plus.
• Good communication skills and self-motivated.

#ContentServices# #webXT#

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.