Research Scientist (AI)

TL;DR

Research Scientist (AI): Developing novel AI models and technical solutions for large-scale, real-world enterprise problems with an accent on Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning. Focus on advancing state-of-the-art AI research and seeing it operate at massive, real-world scale within the world’s #1 AI CRM.

Location: Onsite in Palo Alto or San Francisco, California, USA

Company

hirify.global AI Research discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality, operating within the world’s #1 AI CRM.

What you will do

• Own and pursue ambitious research and engineering goals aligned with strategic initiatives.
• Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.
• Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.
• Collaborate across a strike-team of researchers and engineers to deliver complex projects impacting core AI products and customer experiences.

Requirements

• Ph.D., Master’s, or Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field is required.
• A strong publication record in top AI venues OR a proven track record of shipping AI products to real users is essential.
• Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.
• Experience with Python and deep learning libraries/platforms (e.g., PyTorch, Jax, or DeepSpeed).
• Proven ability to implement, operate, and deliver results via innovation at a large scale.

Nice to have

• Full-time industry experience in deep learning research and/or product development.
• Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.
• Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).
• Strong programming skills, with a competitive background or significant open-source contributions.
• Thoughtful about AI impacts, trust, and ethics.
• Outstanding communication, collaboration, and problem-solving skills.

Culture & Benefits

• Opportunity to advance the state-of-the-art in AI and see that work operate at massive, real-world scale within the world’s #1 AI CRM.
• Work on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning.
• Collaborate across a strike-team of researchers and engineers.