Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine industries worldwide. As a Senior AI Research Engineer, you'll architect scalable machine learning solutions while collaborating with Nobel Prize-winning researchers in our state-of-the-art downtown San Francisco lab. This role offers unparalleled growth opportunities in quantum computing integration and neural network optimization.
We provide comprehensive benefits including equity, unlimited PTO, and a $15,000 annual learning stipend. Our campus features an AI ethics think tank and on-site childcare for working parents.
Responsibilities
- Design and implement advanced ML models for autonomous systems and predictive analytics
- Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
- Conduct cutting-edge research in quantum machine learning and neuromorphic computing
- Optimize AI infrastructure for edge deployment in IoT ecosystems
- Mentor junior engineers through our AI Accelerator program
- Present findings at global AI conferences and publish in top-tier journals
Qualifications
- PhD in Computer Science, Mathematics, or related field with 5+ years industry experience
- Expertise in PyTorch, TensorFlow, and distributed computing frameworks
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Proficiency in quantum programming languages (Qiskit, Cirq)
- Strong background in reinforcement learning and neural architecture search
- Demonstrated experience deploying production AI systems at scale
- Certification in AI Ethics and Responsible AI frameworks