Job Description
Join Nexus AI Labs at the forefront of artificial intelligence innovation. We're pioneering breakthroughs in generative AI, quantum computing, and autonomous systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with world-class researchers to develop novel algorithms and scalable solutions for Fortune 500 clients. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources for experimentation and deployment of next-generation AI technologies.
We offer competitive compensation, equity packages, flexible work arrangements, and comprehensive benefits including health insurance, retirement plans, and professional development stipends. Shape the future of technology with us.
Responsibilities
- Design and implement advanced machine learning models for natural language processing and computer vision applications
- Lead research initiatives in quantum machine learning and neural architecture optimization
- Collaborate with engineering teams to translate research prototypes into production-ready systems
- Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and contribute to open-source AI frameworks
- Develop ethical AI governance frameworks and bias mitigation strategies
- mentor junior researchers and present findings to executive stakeholders
- Drive innovation in federated learning and edge AI deployment
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years of industry experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing systems
- Published research in AI/ML with demonstrated impact in at least one top-tier conference
- Strong programming skills in Python, C++, and cloud platforms (AWS/GCP)
- Experience with large-scale dataset processing and MLOps pipelines
- Knowledge of quantum computing principles and quantum algorithms
- Proven ability to lead cross-functional research projects from conception to deployment
- Strong communication skills for technical and non-technical audiences