Job Description
Join Nexus Dynamics as we pioneer the next frontier of artificial intelligence. Our 2026 research division is developing groundbreaking neural architectures that will redefine human-machine collaboration. We're seeking an exceptional AI Research Lead to spearhead this transformative initiative in our San Francisco innovation hub. You'll lead a multidisciplinary team of PhDs and engineers while shaping the ethical framework for next-gen AI systems.
This role offers unparalleled opportunities to publish at top-tier conferences (NeurIPS, ICML), influence industry standards, and contribute to projects with global impact. Our benefits include equity, unlimited PTO, and dedicated research sabbaticals.
Responsibilities
- Architect and implement novel deep learning models for 2026-era AI systems
- Lead cross-functional research teams in distributed computing environments
- Publish breakthrough findings in peer-reviewed journals and conferences
- Collaborate with product teams to translate research into commercial applications
- Develop ethical governance frameworks for autonomous AI systems
- Mentor junior researchers and foster innovation culture
- Secure external funding through NSF grants and industry partnerships
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years in applied AI research with 3+ years leadership experience
- Published record at top-tier ML/AI conferences (NeurIPS, ICML, CVPR)
- Expertise in transformer architectures, reinforcement learning, or generative models
- Strong Python proficiency with PyTorch/TensorFlow optimization experience
- Proven ability to manage research budgets and complex technical projects
- Excellent communication skills for technical and non-technical stakeholders