This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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
Requirements:
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
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