Job Description
Join Nexus Innovations at the forefront of AI evolution in 2026! We're seeking visionary AI Research Scientists to architect next-generation machine learning solutions that will redefine industries. Our state-of-the-art San Francisco lab offers unparalleled resources for breakthrough research in neural networks, quantum computing, and generative AI. Collaborate with Nobel laureates and pioneer technologies that will shape the next decade of human progress. Enjoy competitive equity packages, flexible schedules, and dedicated R&D budgets to accelerate your groundbreaking ideas.
Responsibilities
- Lead advanced research in deep learning architectures and multimodal AI systems
- Develop scalable ML pipelines for autonomous decision-making frameworks
- Collaborate with cross-functional teams to commercialize AI prototypes
- Publish findings in top-tier journals and present at global AI conferences
- Mentor junior researchers and drive innovation through hackathons
- Secure patents for novel AI methodologies and optimization techniques
- Align research with ethical AI guidelines and sustainability initiatives
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of hands-on experience with transformer models and LLMs
- Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
- Published research in NeurIPS, ICML, or top-tier AI conferences
- Expertise in MLOps, cloud deployment (AWS/GCP), and CI/CD pipelines
- Strong background in reinforcement learning and generative adversarial networks
- Proven ability to translate theoretical research into production-ready systems