Applied Science Intern (AI)

TL;DR

Applied Science Intern (AI): Advancing AI-driven developer experiences by turning research ideas into practical innovations that scale to millions of developers with an accent on AI evaluation and quality systems, agentic AI, and model post-training techniques. Focus on rigorous experimentation, rapid prototyping, and close collaboration to translate scientific advances into real-world impact for developers.

Location: Remote, United States. This is a remote summer internship for 12 consecutive weeks, with start dates between May and June 2026.

Salary: USD $6,414 - $17,030 per month

Company

hirify.global is the world’s leading AI-powered developer platform and the home for software development, with over 180 million developers and 77,000+ organizations using hirify.global Copilot.

What you will do

• Work on a specialized research project focused on advancing AI-powered developer experiences.
• Carry out research, run experiments, and build prototypes at the intersection of machine learning, software engineering, and large-scale systems.
• Improve how AI systems are evaluated and measured.
• Explore agentic approaches that enable AI to reason over tools, context, and goals.
• Investigate post-training and data strategies to improve model performance in real-world developer workflows.
• Collaborate closely with Applied Scientists and Engineering to contribute to product decisions, system design, and future research directions.

Requirements

• Currently studying for a PhD in Machine Learning, AI, Statistics, or Computer Science.
• Research experience in machine learning, natural language processing, information retrieval, evaluation, experimentation, agentic systems, reinforcement learning, or preference optimization.
• Available to work full time for a minimum of 12 weeks (May-June 2026 start dates).
• 2+ years of experience building research concepts or Machine Learning systems in Python, Go, C++, Java, or TypeScript.

Nice to have

• Track record of working both independently and collaboratively.
• Published research or strong research artifacts related to AI systems, machine learning, or developer tools.
• Experience designing or working with evaluation methodologies, benchmarks, building datasets, or large-scale experimental pipelines.
• Familiarity with developer tooling, programming languages, or systems that operate on source code.
• Strong written and verbal communication skills.
• Experience building developer tools or with LLMs for coding.

Culture & Benefits

• Remote-first work environment with competitive pay.
• Generous learning and growth opportunities.
• Excellent benefits to support employees wherever they are.
• Values customer-obsessed, ship to learn, growth mindset, own the outcome, better together, diverse and inclusive.
• Committed to diversity and inclusion, embracing applications from all backgrounds.
• Offers benefits and additional rewards, including annual bonus and stock.