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Senior Applied Scientist at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, Retrieval Models, Model Architectures, Training Strategies, Ad Safety, Cross-Functional Collaboration, Technical Exploration, Mentoring, Python, C++, PyTorch, TensorFlow, Reinforcement Learning, Multi-Agent Systems, Decision-Making Frameworks

Industry

Software Development

Description

- Design, develop, and train Large Language/Retrieval models for advertising scenarios. - Innovate on model architectures and training strategies to enhance ad retrieval, generation, and relevance at scale. - Build solutions that proactively address ad safety, including detection of deceptive or harmful content. - Collaborate cross-functionally with product and engineering teams to integrate models into production systems and validate their impact. - Lead technical exploration and research efforts, staying at the forefront of advancements in AI and advertising technology. - Mentor junior scientists and contribute to a culture of technical excellence and innovation. Required Qualifications: - Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - Deep understanding of transformer architectures, large-scale distributed training, and model optimization. - Solid programming skills in Python, C++, and familiarity with frameworks like PyTorch or TensorFlow. Preferred Qualifications: - Experience with ads systems, search ranking, recommendation engines, or ad safety models is highly desirable. - Experience in reinforcement learning, multi-agent systems, or decision-making frameworks.

Responsibilities

Design and develop large language and retrieval models for advertising scenarios while innovating on model architectures and training strategies. Collaborate with product and engineering teams to integrate models into production systems and validate their impact.