Job Description
Are you ready to define the future?
At 2026, we are not just predicting the future; we are architecting it. We are a premier research lab and tech consultancy dedicated to pushing the boundaries of Artificial Intelligence, Robotics, and Human-Computer Interaction. We are looking for a visionary Director of AI & Future Technologies to lead our engineering team in building the intelligent systems of tomorrow.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable production. You will oversee the development of next-generation LLMs, autonomous agents, and immersive interfaces that will redefine how humans interact with machines. Join us in San Francisco to work on high-impact projects that matter.
Why Join 2026?
- Work with the brightest minds in AI and Cognitive Science.
- Access to state-of-the-art compute infrastructure and research grants.
- Competitive equity package and top-tier healthcare.
- Flexible remote-first culture with a focus on innovation.
Responsibilities
- Lead the architectural vision and technical strategy for AI product development, ensuring alignment with 2026's long-term roadmap.
- Oversee the design, training, and deployment of large-scale Machine Learning models and Neural Networks.
- Mentor a high-performing team of AI Engineers, Data Scientists, and Researchers to foster a culture of continuous learning.
- Collaborate cross-functionally with product managers, designers, and industry experts to translate complex concepts into market-ready solutions.
- Establish best practices for model ethics, bias mitigation, and data privacy in high-stakes environments.
- Drive experimentation with emerging technologies such as Generative AI, Computer Vision, and Predictive Analytics.
- Represent 2026 at top-tier conferences and industry forums to build thought leadership.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years in a leadership role within AI/ML.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps pipelines.
- Proven track record of deploying production-ready AI systems that handle millions of requests.
- Strong understanding of Deep Learning architectures, NLP, and Reinforcement Learning.
- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Demonstrated experience in managing budgets, hiring talent, and leading diverse engineering teams.