Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking an exceptional AI Research Scientist to architect next-generation neural networks and shape the future of human-machine collaboration. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and directly impact industries from healthcare to autonomous systems. Our state-of-the-art lab in San Francisco provides access to quantum computing resources and petabyte-scale datasets. We offer comprehensive benefits including equity, unlimited PTO, and relocation assistance for top global talent.
Responsibilities
- Design and implement novel deep learning architectures for next-gen AI applications
- Lead research initiatives in explainable AI and ethical algorithm development
- Collaborate with cross-functional teams to prototype AI solutions for real-world challenges
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and foster a culture of innovation
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 3+ years of experience in neural network architecture design
- Proven track record of publishing in NeurIPS/ICML/ICLR
- Expertise in PyTorch/TensorFlow and distributed computing
- Strong background in reinforcement learning or federated learning
- Experience with ethical AI frameworks and bias mitigation
- Ability to translate complex concepts into actionable research plans