Research Engineer/Scientist (AI)

TL;DR

Research Engineer/Scientist (AI): Building learning and evaluation foundations for personalized, multimodal AI systems with an accent on RLHF, reward modeling, and preference-learning pipelines. Focus on designing frameworks for context-aware and adaptive model behavior that improves through user feedback over long-term horizons.

Location: Must be based in San Francisco, CA (Hybrid: 4 days/week in-office). Relocation assistance provided.

Salary: $380,000 – $445,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Develop RLHF and post-training methods for multimodal AI models.
• Build reward models and preference-learning pipelines to improve adaptive model behavior.
• Design evaluation frameworks and rubrics that capture long-term user value and contextual appropriateness.
• Experiment with policy improvement strategies using explicit feedback and model-based grading.
• Collaborate with safety researchers to ensure personalization remains interpretable and bounded.
• Prototype training recipes and data pipelines for product-relevant AI behaviors.

Requirements

• Strong background in machine learning research with focus on RLHF, reward modeling, or post-training.
• Experience with reinforcement learning, ranking, personalization, or human-in-the-loop evaluation.
• Ability to design rigorous empirical experiments and reliable evaluation metrics.
• Comfort working across the full stack from data generation to training runs and analysis.
• Must be located in or willing to relocate to San Francisco, CA.
• Ability to thrive in a cross-functional team environment with engineers, designers, and safety researchers.

Culture & Benefits

• Cutting-edge work on frontier AI systems with significant real-world product impact.
• Collaborative culture valuing diverse perspectives and human-centric AI development.
• Commitment to safety, ethical AI, and long-term user benefit.
• Competitive compensation package including significant equity.
• Supportive environment providing reasonable accommodations for disabilities.