Job Description
The 2026 Vision – We are looking for a visionary leader to architect the future of intelligent systems. Nexus Future Labs is pioneering the next generation of Artificial General Intelligence, and we need a Senior AI Strategist to define the roadmap that will define 2026 and beyond. If you are passionate about the intersection of machine learning, ethics, and scalable architecture, this is your opportunity to lead from the front.
We are redefining the boundaries of what is possible in technology. As a Senior AI Strategist, you will not just write code; you will write the future. Our mission is to create autonomous systems that enhance human potential, and we need a strategic mind to guide our technical execution toward that goal.
Why Join Us?
Be part of a elite team of engineers and researchers working on breakthrough technologies. We offer competitive equity packages, a top-tier benefits package, and the autonomy to drive high-impact projects.
Responsibilities
- Define and execute the 2026 AI strategy roadmap, aligning technical goals with business objectives.
- Lead the research and development of next-generation machine learning models and neural architectures.
- Cross-functional leadership: collaborate with engineering, product, and executive teams to drive innovation.
- Establish best practices for AI ethics, safety, and transparency in all development cycles.
- Mentor and guide a team of senior data scientists and machine learning engineers.
- Identify emerging trends in AI (e.g., Generative AI, Quantum ML) and integrate them into our product strategy.
- Present complex technical concepts to non-technical stakeholders and investors.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in AI/ML, with at least 5 years in a strategic or leadership role.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of delivering large-scale machine learning systems.
- Strong understanding of neural networks, NLP, or Computer Vision.
- Exceptional communication and presentation skills, capable of bridging the gap between technical and business teams.
- Experience in the San Francisco Bay Area tech ecosystem is highly preferred.