Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
Minimun 1 year of industry experience in applied machine learning or data science roles.
Proficiency in Python
Experience developing and evaluating generative AI models.
Familiarity with NLP techniques and content understanding.
Strong verbal and written communication skills to explain complex technical concepts to diverse audiences.
Ability to tackle open-ended problems and deliver practical, scalable solutions.
Preferred Qualifications:
Proficiency in ML libraries such asPyTorchor TensorFlow.
Experience deploying ML models in production environments.
Exposure to full product lifecycle from prototyping to deployment and iteration.
Contributions to research publications, patents, or open-source projects.
Responsibilities
Applied Research & Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
Model Development: Build and fine-tune ML/DL models using frameworks likePyTorchor TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
Experimentation & Evaluation: Conduct experiments,analyzeresults, and iterate on solutions to improve precision, recall, and user satisfaction.
Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, andmodelingtechniques to evolve intelligent systems and contribute to the Copilot ecosystem.