Lead/Principal Applied Scientist (AI)

TL;DR

Lead/Principal Applied Scientist (AI): Driving advanced LLM research and model development for AgentForce’s production services with an accent on the full model development lifecycle. Focus on reinforcement learning, continuous learning pipelines, and translating research prototypes into production-grade models.

Location: Palo Alto, Seattle, Bellevue, or San Francisco, USA.

Company

hirify.global is enabling trustworthy, scalable, and high-performance AI systems across customer support, sales, marketing, analytics, and internal productivity workflows.

What you will do

• Own and execute hands-on work across the full model development lifecycle.
• Lead end-to-end research initiatives on LLM training, fine-tuning, alignment, and optimization for production use cases.
• Design, implement, and iterate on reinforcement learning (RL) and continuous learning pipelines.
• Conduct rigorous experimentation and failure analysis to drive measurable model improvements.
• Serve as the technical POC for complex AI projects, driving alignment across teams.
• Mentor junior scientists and engineers through direct technical guidance and code-level reviews.

Requirements

• PhD in Computer Science, Machine Learning, AI, or a related field.
• Demonstrated hands-on experience owning the full model development lifecycle.
• Deep expertise in large-scale model training and fine-tuning, especially for LLMs.
• Strong background in reinforcement learning, preference learning, or human-in-the-loop learning.
• Advanced proficiency in Python, with significant hands-on coding experience.
• Deep experience with PyTorch, TensorFlow or similar deep learning packages.

Nice to have

• Strong publication record in top-tier venues.
• Experience deploying and iterating on models in production, high-availability systems.
• Background in enterprise AI, agentic systems, or LLM platforms at scale.

Culture & Benefits

• Work on mission-critical LLM systems at massive scale.
• Own models end-to-end, from research to production impact.
• Shape the future of enterprise-grade AI agents.
• Collaborate with world-class researchers and engineers.
• See your research ship, scale, and matter.