Member of Technical Staff - Machine Learning (AI Team) at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Acquisition, Model Quality, Python, C, C++, C#, Java, JavaScript, Data Science, Reinforcement Learning, Data Quality, AI Products, Model Pipelines, Customer Focus, Algorithm Adaptation

Industry

Software Development

Description

Leverage subject matter expertise to improve model quality for interactive and agentive experiences. Oversee data acquisition or generation efforts, ensuring that the data meets the model needs. Generalize machine learning (ML) solutions into repeatable frameworks. Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products). OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products). OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience). 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code.

Responsibilities

Leverage subject matter expertise to improve model quality for interactive and agentive experiences. Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.