Research Engineer (AI)

TL;DR

Research Engineer (AI): Improving the intelligence of public AI models by building and scaling training environments for reinforcement learning with an accent on fine-tuning strategies, reward design, and data quality. Focus on exploring novel environment creation, developing QA frameworks, and translating capability goals into training systems.

Location: Hybrid (United States), with an expectation to be in one of the offices at least 25% of the time. Visa sponsorship is available.

Salary: $350,000–$850,000 USD

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.

What you will do

• Improve and execute fine-tuning strategies for adapting Claude to new domains and tasks.
• Manage technical relationships with external data vendors, including evaluation of data quality and reward design.
• Collaborate with domain experts to design data pipelines and evaluations.
• Explore novel ways of creating RL environments for high-value tasks.
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality.
• Partner with other RL research teams and product teams to translate capability goals into training environments.

Requirements

• Experience with fine-tuning large language models for specific domains or real-world use cases.
• Experience with reinforcement learning, reward design, or training data curation for LLMs.
• Comfortable managing technical vendor relationships and iterating quickly on feedback.
• Strong project management and interpersonal skills.
• Passion for making AI more useful and accessible across different industries.
• At least a Bachelor's degree in a related field or equivalent experience.

Nice to have

• Experience training production ML systems.
• Familiarity with distributed systems and cloud infrastructure.
• Domain expertise in an area where models can be more useful.
• Experience working with external vendors or technical partners.

Culture & Benefits

• Competitive compensation and benefits, optional equity donation matching.
• Generous vacation and parental leave, flexible working hours.
• Collaborative team focused on high-impact AI research.
• Emphasis on advancing steerable, trustworthy AI as an empirical science.
• Lovely office space in San Francisco for collaboration.