Applied Scientist

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.
• Apply 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.

Qualifications

• 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.
• Hands-on experience with generative AI OR LLM/ML algorithms.

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

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