Job Description
Join Nexus Labs at the forefront of 2026 technological evolution as we pioneer next-generation AI systems. We seek visionary researchers to develop autonomous decision-making frameworks that will redefine human-machine collaboration. Our Austin-based incubator combines quantum computing principles with neural network optimization to solve complex global challenges. This role offers unparalleled access to our R&D sandbox and collaboration with Nobel Prize-winning advisors.
Compensation includes equity, flexible work arrangements, and a $10k annual innovation stipend for personal projects aligned with our 2026 roadmap.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for autonomous systems
- Lead cross-functional teams in prototyping neural network architectures with 99.9% accuracy benchmarks
- Develop ethical AI governance frameworks for real-world deployment scenarios
- Author white papers on federated learning applications in healthcare and climate modeling
- Collaborate with hardware engineers to optimize AI-ASIC integration
- Mentor junior researchers in emerging AI paradigms
Qualifications
- PhD in Computer Science, Mathematics, or related field with 5+ years experience
- Published research in top-tier AI journals (NeurIPS, ICML) since 2020
- Proficiency in PyTorch, TensorFlow, and quantum programming languages
- Experience with MLOps pipelines and large-scale distributed training
- Demonstrated expertise in ethical AI frameworks and bias mitigation
- Strong background in reinforcement learning and multi-agent systems
- Portfolio of deployed AI systems with measurable societal impact