Applied Scientist

Applied Scientist II

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Our AI Research team is responsible for building advanced AI innovation for the security business. This role is very crucial to ensure success of AI innovation we are building and entails end to end envisioning of how AI can help threat hunting and security research broadly and build AI agents to help the personas. We are looking for individuals with "go get it done" approach to a problem where they show hard work, growth mindset, goal and outcome, oriented thinking and ship fast and learn fast execution style. The key to success in this role is velocity, agility and versitalityity

Responsibilities

• Bachelor's Degree in Computer Science or related technical field 
• 3+ years hands on experience with strong coding in languages including, but not limited to, Python, equivalent experience. 
• At least 5+ years of experience as an applied scientist/data scientist/applied researcher with hands on responsibilities to build ML based products using core Maching Learning/Deep Learning methods and also experience in end to end ownership in one or more components of the entire ML Project
• Experience working in LLMs and building LLM powered copilots/agents is highly preferred.
• Experience in deep learning models and tuning transformer models is highly preferred. 
• Experience in evaluating the ML Solutions and tuning the solution for customer delight.
• Strong ability to code and collaborate with engineering teams in shipping features.
• Ability to navigate unstructured fast paced experiments.
• The applicant must be well versed with the entire AL/ML development lifecycle including design and POC/experiments, further tuning to improve quality, production readiness, post-production improvements, evaluating and updating to new models/AI platforms

Qualifications

• BE/BTech in Computer Science
• BSc/MSc in Statistics/related subject such as mathematics
• Strong Proficiency in Analytics, model evaluation 
• Strong ability to collaborate with other data scientist in solving ML/Deep Learning/ Agentic Problem as a team 
• Ability to own some components end to end independently
• Proficiency in Python, ML and Gen AI
• Proficiency to collaborate with different stakeholders including PM and Engineering 

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Experience Level

Mid Level