Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation machine learning systems that will redefine industries. In this pivotal role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical breakthroughs into scalable commercial applications. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity drives innovation. If you're passionate about shaping the future of artificial intelligence, this is your moment to make history.
Responsibilities
- Design and implement cutting-edge neural network architectures for 2026-era applications
- Lead cross-functional teams in developing ethical AI frameworks aligned with future regulatory landscapes
- Publish breakthrough research in top-tier journals and conferences (NeurIPS, ICML, etc.)
- Collaborate with quantum computing specialists to optimize hybrid AI-quantum algorithms
- Translate theoretical models into production-ready systems serving 10M+ users
- Drive innovation in explainable AI and human-AI symbiosis paradigms
- Mentor PhD researchers and spearhead university partnerships
Qualifications
- PhD in Machine Learning, Computer Science, or related field with 5+ years research experience
- Proven track record of publishing in top-tier AI/ML conferences (10+ papers)
- Expertise in transformer architectures, generative models, and federated learning
- Strong programming skills in Python, TensorFlow/PyTorch, and distributed systems
- Experience deploying models at scale serving enterprise-level workloads
- Deep understanding of AI ethics, bias mitigation, and responsible AI development
- Ability to secure $1M+ in research funding through competitive grants