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Applied Scientist

Mountain View, CA

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

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Employer
Microsoft
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Location / Model
Mountain View, CA
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Employment
Full-Time
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Recruitment Type
Direct to HR Pipeline
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Industry
General
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Company Size
🌐
Headquarters
United States
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Visa & Sponsorship
Global Talent Consideration
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Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
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Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from Microsoft's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

If you are an applied scientist with a passion for applying state-of-the-art Artificial Intelligence (AI) innovations to augment human creativity to create modern experiences that are inclusive, intelligent, human-centered, and are used by millions of people world-wide look no further!

Join us as we grow Designer, an AI-powered design service that’s helped improve and visualize billions of designs in PowerPoint and other products across the Microsoft ecosystem. We are located in heart of Silicon Valley in Mountain View, California. We're growing the capabilities and scale of Designer, pushing the limits of machine learning to help create the world’s best presentations and designs. The team has responsibility for the design, implementation, and testing of an ecosystem which includes modern, seamless web experiences and graphics capabilities. In addition, the team is on the forefront for developing scalable cloud services deeply integrated into various Microsoft applications. Partnering with the best of AI Research, product management, user experience (UX) designers and user research teams to continue delighting our customers and create a truly intelligent and delightful AI assisted design experience.

From fast evolving new intelligence features to long-range strategic investments, as a Applied Scientist, you will get the chance to ship world-class software to our enormous customer base. You will be surrounded by extremely talented and helpful colleagues and a great management team with lots of experience to learn from who are all deeply invested in helping you move your career forward.

The world is evolving -- we are looking for enthusiastic and creative thinkers to join us to meet the challenge of delivering well-crafted intuitive solutions and products that meet the needs and beyond of a changing world.

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.

Responsibilities

You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness Large Language Models (LLMs) and Diffusion models to deliver visual AI solutions for Designer customers. You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build solutions that have the potential to transform people’s lives. You will work with engineering partner teams on the model integration/flight/maintenance.'

Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fieldOR equivalent experience. Experience with relevant projects in Computer Vision and/or Information Retrieval. Experience in Python.

Additional Or Preferred Qualifications

Experience working on Natural Language Processing projects. Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras. Candidates with Top tier publication(s) is preferred. Ability to work cross-group and across disciplines. Passion for customers, innovation, product quality, service excellence and test engineering. Experience in shipping high-quality products or services at-scale is a plus.

Applied Sciences IC2 - The typical base pay range for this role across the U.S. is USD $76,400 - $151,800 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 $100,300 - $165,400 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 May 7, 2024.

#OXOEngineering

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Frequently Asked Questions

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Is this position eligible for remote work or visa sponsorship? ▼

This position is located in Mountain View, CA with potential relocation and sponsorship assistance depending on candidate qualifications.

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