Job Description
Join Quantum Horizon Technologies, a pioneer in next-generation artificial intelligence, as we architect the systems that will define the technological landscape of 2026 and beyond. We are seeking a visionary Lead AI Strategist to bridge the gap between theoretical research and scalable production systems. In this role, you will steer our long-term roadmap, ensuring our AI models are not just state-of-the-art today, but future-proof for the rapidly evolving AI ecosystem.
You will work in a high-performance environment with top-tier engineers and researchers, pushing the boundaries of Large Language Models (LLMs) and autonomous agents. If you are passionate about the future of technology and want to build the infrastructure for tomorrow's world, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI projects with global impact.
- Competitive compensation package including equity.
- Flexible remote-first culture with premium San Francisco office access.
- Continuous learning opportunities with industry leaders.
Responsibilities
- Strategic Roadmapping: Define and execute the technical vision for AI capabilities to be deployed by 2026, focusing on scalability, safety, and efficiency.
- Model Architecture: Lead the design and optimization of proprietary LLMs and reinforcement learning systems, ensuring high accuracy and low latency.
- R&D Leadership: Oversee a team of research scientists and engineers, fostering a culture of innovation and rigorous experimentation.
- Technical Consultation: Partner with product and engineering teams to translate complex AI research into practical, user-centric solutions.
- Performance Optimization: Drive initiatives to reduce inference costs and improve model interpretability for enterprise deployment.
- Compliance & Ethics: Establish guidelines for responsible AI usage, ensuring alignment with global data privacy regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field from a top-tier institution.
- Experience: 7+ years of experience in AI/ML, with at least 3 years in a senior leadership or architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow, and extensive experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Research: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering breakthrough models.
- Strategic Thinking: Demonstrated ability to think several years into the future regarding technological trends and their business implications.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.