Model Design Staff – Language Engineer (AI)

TL;DR

Model Design Staff – Language Engineer (AI): Crafting and refining context and prompts to steer, train, and evaluate Large Language Models for Microsoft Copilot, with an accent on emotional and intellectual use cases. Focus on creating evaluation frameworks, researching novel prompting techniques, and extracting insights from extensive language datasets.

Location: Mountain View, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location.

Salary: USD $100,600 – $199,000 per year (general U.S. range) or USD $131,400 – $215,400 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global is pushing the boundaries of technology, creating unique, beautiful, and powerful products that will change lives.

What you will do

• Craft and refine the context and prompts used to steer, train, and evaluate the language models that power Microsoft Copilot.
• Create and establish evaluation frameworks to measure technical, practical, and non-deterministic performance (like EQ).
• Research and implement novel prompting techniques.
• Extract insights from extensive language datasets to uncover issues and opportunities to improve model response quality.
• Own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

Requirements

• Bachelor’s Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or a related discipline.
• 1+ years experience in context engineering with foundational software engineering knowledge.
• 3+ years experience working in a fast-paced environment, managing multiple priorities, and adapting to changing requirements and deadlines.
• Hands-on experience with prompt design, context window management, and model evaluation.

Nice to have

• 2+ years of experience shipping consumer-facing products, including collecting user feedback and iteratively improving products.
• 1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations.
• Technical depth in software development, data science, and machine learning.

Culture & Benefits

• Work in a small, friendly, fast-moving team focused on innovation and breaking new ground.
• Opportunities to define the AI era with work having real and immediate impact.
• Culture of inclusion built on values of respect, integrity, and accountability.
• Supportive environment to do the best work of your life.