Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution! We're pioneering AI-driven sustainability solutions that will redefine global environmental standards. As our AI Sustainability Research Lead, you'll architect intelligent systems to combat climate change, optimize resource allocation, and create scalable eco-technologies. This is your chance to shape the future of human-AI symbiosis while working in Austin's vibrant innovation ecosystem.
We offer competitive equity packages, unlimited PTO, and a state-of-the-art lab powered by quantum computing infrastructure. Collaborate with Nobel laureates and disrupt the sustainability paradigm with us.
Responsibilities
- Lead R&D for AI-powered carbon capture optimization systems
- Develop predictive models for renewable energy grid efficiency
- Architect ethical AI frameworks for environmental policy simulation
- Coordinate cross-functional teams of engineers and climate scientists
- Secure patents for breakthrough sustainable AI methodologies
- Present findings at global sustainability tech conferences
- Mentor next-generation AI sustainability researchers
Qualifications
- PhD in Machine Learning, Environmental Science, or related field
- 5+ years developing production-grade AI systems
- Published research in sustainable AI or climate tech
- Expertise in Python, TensorFlow/PyTorch, and quantum computing
- Strong background in environmental data science
- Proven experience leading technical teams
- Deep understanding of AI ethics and governance frameworks
- Passion for intersection of AI and climate solutions