Principal Applied Scientist at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Analysis, Predictive Analytics, Research, Deep Learning, Model Training, Model Fine-tuning, Recommendation Systems, Ranking Pipelines, Distributed Training, Architectural Coherence, Technical Leadership, Cross-team Collaboration, AI Trends, Publications, Frameworks

Industry

Software Development

Description

- Advance research and development across retrieval, ranking, matching, and generative models. - Leverage and improve SLMs/LLMs:/LRMs train, fine-tune, and align models and productionize them. - Evolve the Ads ranking platform toward better usability, reliability, scalability, efficiency, and architectural coherence. - Provide technical leadership on projects: set direction, coach a distributed team, and influence cross-org strategy. . - Follow research trends in AI to guide the group keep solutions state-of-the-art. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) - OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience . - 8+ years of experience in ML with a proven record of shipping large-scale models to production. - Hands-on experience with SLM/LLM /LRM training, fine-tuning, and post-training. - Experience designing and scaling recommendation systems with massive query/item spaces and multi-stage ranking pipelines. - Proficiency with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) and distributed training on large datasets. These requirements include but are not limited to the following specialized security screenings: - Preferred Qualifications: - Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - 10+ years of experience in ML with a proven record of shipping large-scale models to production. - Proven ability to influence platform architecture and align cross-team roadmaps. - Track record of publications in tier-1 venues such as NeurIPS, ICML, KDD, WWW, ACL, SIGIR.

Responsibilities

Advance research and development across retrieval, ranking, matching, and generative models while providing technical leadership on projects. Evolve the Ads ranking platform toward better usability, reliability, scalability, efficiency, and architectural coherence.