Microsoft Language Engineer 

United States, California, Mountain View 

610105756

Research teams. This role requires a balance of technical skills and effective people management skills.

By applying to this role based in U.S. Mountain View, CA, you are required to be local to the San Francisco area and in office 3 days a week.

Required Qualifications:

• Bachelor's Degree AND 2+ years experience in linguistics, computer science, writing, editing, education, or library science.
  • OR equivalent experience or research.

Preferred Qualifications:

• Bachelor's Degree AND 5+ years experience in product/service/project/program management.
  • OR equivalent experience.
• Familiarity with scripting languages or query languages (e.g. Python, SQL).
• Exceptional public speaking abilities paired with clear and effective communication skills.
• Experience designing data collection tasks, including instructional design, setting and implementing data quality standards, and ensuring the quality of final deliverables.
• Experience with Machine Learning or Large Language Models, including experience in prompt engineering.
• Proficiency in a language other than English to support analyzing, annotating, and editing large volumes of language data.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Spin the Data Flywheel: You will extract insights from extensive language datasets to uncover issues and opportunities and share recommendations with AI, Design, and Marketing teams that lead to direct product improvements.
• Evangelize learnings to drive impact: You will share Data Science and Product Analytics Insights in Weekly Product Reviews and facilitate collaborative, thought-provoking sessions with cross-functional teams.
• Build Taxonomies: You will create structured classifications and categorizations for language data.
• Build Curricula and Instructions for Taskers to Label Data: You will design comprehensive training materials and guidelines for taskers responsible for labeling data.
• Prompt Engineering: You will craft and refine the prompts used to train and evaluate our AI models.
• Orient the overall Copilot product strategy: You will use metrics and insights to influence the broader Copilot product roadmap.