As an Applied Scientist for BIC Agent Cloud at Microsoft, the business problem is to contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. This involves bringing innovative solutions to life by building expertise in machine learning, data science, and AI to solve complex problems, directly influencing product direction and customer experiences.
Requirements
- Hands-on experience with generative AI OR LLM/ML algorithms.
Responsibilities
- Research, implement, and fine-tune state-of-the-art foundation models, leveraging techniques such as prompt engineering, RAG, multi-agent architectures, and classical ML to deliver business impact.
- Build benchmarks, datasets, and metrics to assess language model performance, addressing relevance, bias, hallucination, and response quality through offline and online experiments.
- Design rapid AI prototypes, contribute to production deployments, debug code, and support MLOps/AIOps for scalable and reliable AI systems.
- Convert cutting-edge AI research into production-ready solutions, measure impact via A/B testing and telemetry, and align innovations with strategic business goals.
- Implement fairness, bias mitigation, and privacy principles throughout the AI lifecycle, proactively addressing ethical and security risks such as XPIA attacks.
- Partner with product and engineering groups to integrate generative AI solutions, share insights on industry trends, and promote knowledge through documentation and internal forums.
- Prepare and analyze datasets, develop and evaluate ML models using modern frameworks, and address scalability and performance challenges in large-scale environments.
Other
- 3 days / week in-office
- Travel 0-25%
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics 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 field + OR equivalent experience.
