Job Description
Join NeuroEdge Technologies at the forefront of 2026's AI revolution! We're seeking a visionary Research Scientist to pioneer breakthroughs in generative AI and neural networks. As a key member of our Innovation Lab, you'll shape the future of human-machine interaction while working with cutting-edge infrastructure and world-class collaborators. Our startup environment offers unparalleled autonomy, competitive equity packages, and the opportunity to impact billions of lives through ethical AI development.
Located in San Francisco's vibrant tech hub, NeuroEdge provides hybrid work flexibility, comprehensive benefits, and a culture that rewards intellectual curiosity. If you're passionate about solving tomorrow's challenges today, this is your chance to define the next wave of technological advancement.
Responsibilities
- Lead research initiatives in generative AI, quantum computing, and neural architecture optimization
- Develop and publish breakthrough algorithms for 2026's next-generation AI applications
- Collaborate with engineering teams to translate research into production-ready solutions
- Mentor junior researchers and foster cross-functional innovation across departments
- Secure patents and publish findings in top-tier AI/ML conferences
- Design ethical frameworks for AI deployment and bias mitigation strategies
- Stay ahead of emerging trends through continuous literature review and industry collaboration
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years of hands-on experience in deep learning and neural network research
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Strong background in ethical AI development and responsible innovation
- Proven ability to translate complex research into practical applications
- Exceptional problem-solving skills with attention to mathematical rigor
- Experience with quantum computing concepts or neuromorphic systems preferred