Job Description
Join Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist to architect transformative systems that redefine human-machine collaboration. This role merges cutting-edge AI research with strategic foresight, creating frameworks for autonomous decision-making, quantum-integrated neural networks, and ethical AI governance. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where we incubate the technologies that will shape the next decade.
At Horizon Labs, we don't just predict the future—we build it. Our culture combines Silicon Valley agility with Austin's creative energy, offering competitive equity, unlimited learning stipends, and flexible work arrangements designed for peak innovation. If you're passionate about solving tomorrow's challenges today, this is your calling.
Responsibilities
- Design and implement generative AI frameworks for 2026-era autonomous systems
- Lead quantum machine learning research initiatives bridging classical and quantum computing paradigms
- Develop ethical AI governance protocols for next-generation human-AI symbiosis
- Collaborate with neuroscientists to create brain-computer interface prototypes
- Architect decentralized AI ecosystems resistant to adversarial attacks
- Pioneer synthetic data generation techniques for AGI training pipelines
- Present breakthrough research at global AI summits and peer-reviewed journals
Qualifications
- PhD in AI, Machine Learning, or Computational Neuroscience with 5+ years industry experience
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in quantum computing frameworks (Qiskit, Cirq) and transformer architectures
- Proven track record deploying production-scale generative models (GPT-4+, DALL-E 3)
- Deep understanding of AGI safety protocols and alignment techniques
- Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
- Strong background in ethical AI frameworks and bias mitigation strategies