Job Description
Join Nexus Dynamics Inc., a trailblazer in quantum computing and AI innovation, as we redefine technological boundaries in 2026. We seek visionary AI Research Scientists to architect next-generation machine learning models that will power autonomous systems, biotech breakthroughs, and sustainable energy solutions. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley campus, equipped with $50M+ in R&D infrastructure. Your work will directly impact Fortune 500 partners and shape the future of human-computer interaction.
What you'll achieve: Pioneering research in generative AI, neural architecture optimization, and cross-modal learning systems. Publication in top-tier journals (NeurIPS, ICML) and patent development for proprietary algorithms. Mentorship opportunities for junior researchers and participation in global tech summits.
Responsibilities
- Design and implement novel deep learning architectures for real-time predictive analytics
- Lead cross-functional projects integrating AI with IoT and blockchain ecosystems
- Develop ethical AI frameworks ensuring compliance with emerging global regulations
- Optimize computational efficiency for edge deployment in autonomous vehicles and medical devices
- Collaborate with quantum computing teams to hybridize classical and quantum AI models
- Present research findings at industry conferences and publish in peer-reviewed journals
- Mentor junior researchers and contribute to open-source AI initiatives
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow, distributed computing (Spark/Kubernetes), and MLOps
- Published record in top-tier AI conferences with 5+ peer-reviewed papers
- Proficiency in Python, CUDA, and low-level optimization techniques
- Experience with large-scale LLM fine-tuning and RLHF methodologies
- Demonstrated understanding of AI ethics, bias mitigation, and responsible AI practices
- Strong background in at least one specialized domain: computer vision, NLP, or reinforcement learning