Job Details
Posted date: Sep 03, 2024
There have been 19 jobs posted with the title of Senior Applied Scientist all time at Microsoft.There have been 19 Senior Applied Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $183,700
Range: $117,200 - $250,200
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
Microsoft Trust, Safety and Intelligence team is responsible for the moderation and understanding of news feed to delight our end-user by offering them trustworthy and safe contents. We design and develop text and vision machine learning models that run daily on thousands of web contents of different types (articles, videos and slideshows) and user-generated comments to protect millions of users from harmful contents. We are looking for a highly motivated and talented applied scientist to join our science team.As a Senior Applied Scientist on our team, you will be using the latest deep learning techniques including generative AI, large language models for natural language understanding and large vision models for image understanding.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Conduct research and development in computer vision, generative AI, knowledge distillation and multi-modality learning to develop content moderation models. Own the problem end-to-end, from ideation to production, ensuring successful implementation. Leverage data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required for machine learning model development. Contribute to the definition of content moderation policies. Work with science and engineering team to improve existing data labeling techniques and model design. Mentor and coach less experienced scientists on the best practices in data preparation, data labeling and modeling. Perform documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Creates informal documentation and may share findings to promote innovation within groups or with other groups. Embody our culture and values.
Qualifications
Required Qualifications:Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.3+ years of experience developing machine learning models. 2+ years of experience as a tech lead or a similar role in developing machine learning models. 2+ years of experience with natural language processing. Preferred Qualifications:
Experience with machine learning model deployment and debugging. Experience with large language models and transformers. Experience with computer vision models, or visual content understanding. Experience with distributed big data processing. Experience in mentoring early in profession Applied Scientists. 2+ years of experience with statistical analysis and data visualization
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until September 10, 2024
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.