Senior Applied Scientists and Principal Applied Scientists (Multiple Positi at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, Training Pipelines, Experiment Design, Inference Solutions, Documentation, Mentoring, Python, Machine Learning Frameworks, Publications, Presentations, Generative AI, Retrieval Augmented Generation

Industry

Software Development

Description

Write and execute training pipelines for large language models post-training. Design experiments to show the effectiveness of LLM-based solutions. Design and implement inference solutions that incorporate post-trained models following product specifications and work with broader team to ship these solutions to customers. Document experiments and communicate results across the team. Mentor early in career team members. 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) These requirements include but are not limited to the following specialized security screenings: Bachelor'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 Master'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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 2+ years of experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small learning model). 2+ years of experience with Python and/or ML frameworks such as PyTorch. 4+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 2+ years of experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).

Responsibilities

Write and execute training pipelines for large language models and design experiments to demonstrate their effectiveness. Collaborate with the team to implement and ship inference solutions to customers.