Job Description
Join Nexus Labs at the forefront of technological innovation shaping 2026. We seek visionary AI Research Scientists to develop cutting-edge machine learning models that will redefine industries. In this pivotal role, you'll collaborate with world-class engineers to create scalable AI solutions while contributing to groundbreaking research in neural networks and generative AI.
Our state-of-the-art San Francisco campus offers unparalleled resources for experimentation and development. You'll work on projects that directly impact autonomous systems, quantum computing interfaces, and human-AI collaboration frameworks – technologies poised to transform the 2026 landscape.
Responsibilities
- Design and implement novel deep learning architectures for next-generation AI applications
- Lead research initiatives in multimodal AI systems and explainable AI frameworks
- Develop prototypes for autonomous decision-making systems with ethical guardrails
- Collaborate with engineering teams to translate research production-ready solutions
- Publish findings in top-tier AI conferences and contribute to open-source initiatives
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent research experience)
- 5+ years of experience developing production-level AI/ML systems
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in NeurIPS, ICML, or equivalent tier conferences
- Strong background in reinforcement learning or generative modeling
- Proven ability to translate complex research into practical applications
- Experience with MLOps and scalable AI deployment pipelines