Overview

Follow-on Suggestions are prompts that appear after an AI assistant or search engine, such as Copilot or Bing, responds to a user query. These suggestions, including features like "People Also Ask" and "Related Searches" in Bing, help users continue their search, complete tasks, and explore related topics efficiently. The Follow-on Suggestions team within STCI, part of the Microsoft AI (MAI) organization, is responsible for developing these features for Copilot and Bing.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

- Develop novel machine learning and data mining algorithms, and fine-tune LLM/SLMs to support follow-on suggestion experiences in Copilot and Bing.
- Create reusable modules with data quality checks for model training and evaluation.
- Host ML models and manage model implementation using production-ready, optimized code, evaluating trade-offs between cost, performance, latency, and throughput to determine optimal operating points.
- Design and execute offline and online experiments to assess product impact, iterating on techniques to improve models and maximize effect.




- Collaborate with design, software engineering, and platform teams to integrate LLM/SLMs into engineering systems for follow-on scenarios.
- Promote engineering excellence by developing secure-by-design, privacy-preserving solutions.
- Maintain live-site reliability and operational excellence, participate in On-Call rotations, and foster a sustainable, high-ownership engineering culture.

Qualifications

- Master’s or Ph.D. degree in Computer Science, Electrical Engineering, or related fields with at least 2 years of experience in Machine Learning/NLP and data mining, or a bachelor’s degree with 4+ years of experience in these areas.
- Robust research and/or development background in architecting, developing, and delivering advanced machine learning, deep learning NLP projects is preferred.
- Minimum 2 years of hands-on experience with ML frameworks such as PyTorch, TensorFlow, HuggingFace, and ONNX.
- Robust data analysis and data mining skills using Big Data frameworks like Spark and Hadoop/MapReduce.
- Excellent problem-solving, communication, and collaboration skills.
- Customer-focused, strategic, results-driven, self-motivated, and enthusiastic about working in a diverse team and collaborating across geographies.
- Proven track record of successful delivery of large-scale applied ML projects in an industry setting.
- MicrosoftAI

📌 Applied Scientist Ii (Hyderabad)
🏢 Microsoft
📍 Hyderabad