Senior Applied Scientist- Content Service
Beijing, Beijing, China
Microsoft
Entdecken Sie Microsoft-Produkte und -Dienste für Ihr Zuhause oder Ihr Unternehmen. Microsoft 365, Copilot, Teams, Xbox, Windows, Azure, Surface und mehr kaufenAre you interested in building personalized recommendation for billions of users, especially in various verticals, like finance, sports, gaming?
CS vertical insights team in Content Service organization is building personalized recommendation in various product, including MSN and Edge / Windows taskbar integration, etc.
Our team focus on whole recommendation stack building, especially the modeling parts in different recommendation layers, including document understanding, segment recall, user profile modeling, personalized ranking, diversity optimization, etc.
If you’re looking for one team to utilize your ML skills to optimize user engagement of real product, grow your ML skills by iterating against users’ feedbacks and resolving real product challenges, this is the team for you!
Responsibilities
As applied scientist in the team, your major responsibilities including:
- Thinking through the product scenarios and goals, identify key challenges, then fit the scenario asks into ML tasks, design experimental process for iteration and optimization
- Model training, evaluation, optimizing, pipeline building, collaborating with platform team on online serving and perf optimization for shipping.
- Keeping on 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
- Master / PhD in computer science or related fields focus on machine learning and AI
- 6+ years’ experiences in areas of machine learning, recommendation, natural language processing or large-scale data mining.
- Solid coding skill and good experience on deep learning framework like PyTorch, TensorFlow, etc.
Preferred:
- Working / research experiences on personalized recommendation areas is good plus.
- Good communication skills and self-motivated.
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. 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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Mining Deep Learning Finance Machine Learning Model training NLP PhD PyTorch Research TensorFlow
Perks/benefits: Career development Medical leave
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