Applied Scientist at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Data Science, Code Completion, Code Editing, Model Evaluation, Inference Algorithms, Context-Augmented Techniques, Robustness, Fairness, Performance, Research, Prototyping, Deployment, Live Production Systems, Product Development

Industry

Software Development

Description

Develop and evaluate advanced models for code completion and editing, improving code understanding, generation, and review within defined project scopes. Implement context-augmented techniques to enhance model awareness of large and complex codebases, enabling context-rich developer assistance. Prototype and optimize inference algorithms for efficient, interactive code generation experiences at scale. Design, train, and validate machine learning models, ensuring robustness, fairness, and performance in production environments. Conduct experiments and analyze results to iterate on model improvements and deliver measurable impact. Stay informed on research and product trends in AI for software engineering, applying relevant advancements to improve model capabilities. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g. Machine Learning, AI, Data Science) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g. Machine Learning, AI, Data Science) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g. Machine Learning, AI, Data Science) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g. Machine Learning, AI, Data Science) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g. Machine Learning, AI, Data Science) OR equivalent experience. 2+ years of experience in applied research or development of applications with LLMs, including techniques such as fine-tuning and retrieval-augmented generation (RAG) pipelines. Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Responsibilities

Develop and evaluate advanced models for code completion and editing, improving code understanding, generation, and review. Conduct experiments and analyze results to iterate on model improvements and deliver measurable impact.