Senior Applied Scientist-Collab Services

Microsoft • Redmond, WA

139d • $119,800 - $234,700

About The Position

Join the Collab Services team at Microsoft as we are building Agents and Copilot Skills to delight the collaboration experience for millions of Office 365 customers. Our team is building the Collab Agent for Word, Excel, and PowerPoint to help users better collaborate on documents, tackling scenarios from assisting with comment resolutions to providing proactive suggestions and autonomous help. We're excited to apply cutting-edge AI and machine learning to real-world collaboration problems, building models that will go into production and transform how people work together. On our team, understanding the customer is just the beginning. We analyze customer data, understand their problems, build models to address these issues, and collaborate with partner teams to deploy these models as customer-facing features. A flexible problem-solving attitude and the ability to collaborate across disciplines are vital. You will be responsible for working within Microsoft's industry-leading commitments to user privacy and ensuring that your models and features adhere to Microsoft's Responsible AI policies to ensure fair and unbiased models for all. The Collab Services team boasts mature development and engineering systems. Our engineers benefit from data-driven decisions, rapid experimentation, and robust telemetry, allowing us to iterate quickly and verify the impact of new ideas. We have a supportive management team with extensive experience to help you advance your career. As our product's scope and portfolio rapidly expand, we are excited to meet the challenges of scale, performance, efficiency, and reliability in building the world's best collaborative document experience. We are looking for a Senior Applied Scientist to join our team and help drive these efforts.

Requirements

• Bachelor's Degree in Statistics, Econometrics, 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 Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics.
• 4+ years of experience in software development.
• 2+ years of industry experience in an Applied Scientist role.
• Ability to meet Microsoft, customer and/or government security screening requirements.

Nice To Haves

• 5+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models.
• Proficiency in Python and familiarity with coding in multiple languages.
• Proficiency in using ML libraries from sources such as Hugging Face.
• Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications.
• Deep knowledge of algorithms, machine learning, and distributed/cloud computing systems (e.g., Spark, Hadoop, Azure).
• Published papers in reputed ML conferences.
• Contributions to open-source ML projects.
• Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines.
• Experience shipping high-quality products at scale.

Responsibilities

• Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets.
• Develop and ship machine learning models and large language model applications to customers.
• Collaborate with research teams to adopt the latest technologies.
• Measure the impact of models and work with product teams to design Artificial Intelligence (AI)-powered experiences.
• Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor.
• Embody our culture and values.

Benefits

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree