Job Description
We are at the precipice of a new technological era. Apex Horizon Labs is seeking a visionary Lead AI Research Scientist to define the roadmap for 2026 and beyond. You will be responsible for pioneering next-generation generative models and scalable AI architectures that will power the future of enterprise intelligence.
In this role, you won't just be maintaining existing systems; you will be architecting the infrastructure for the future. If you are passionate about pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and have a deep understanding of the technological landscape leading up to 2026, we want to hear from you.
Why Join Us?
- Work with the world's leading minds in future-tech.
- Competitive compensation package including equity.
- Flexible remote-first culture with a central SF hub.
Responsibilities
- Define the 2026 AI Strategy: Lead the research and development of cutting-edge AI models, specifically focusing on long-term scalability and ethical alignment.
- Architect Next-Gen Systems: Design and implement robust neural network architectures capable of handling complex, multi-modal data streams.
- Lead a World-Class Team: Mentor and manage a team of junior researchers and data scientists, fostering a culture of innovation and technical excellence.
- Publish and Innovate: Lead efforts to publish high-impact research papers and drive patent filings in the field of future AI.
- Bridge the Gap: Collaborate closely with product engineering to translate theoretical research into practical, deployable applications.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Machine Learning.
- Experience: 5+ years of professional experience in AI research, with at least 2 years in a leadership or senior technical role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Domain Knowledge: Strong background in Natural Language Processing (NLP) and Generative Adversarial Networks (GANs).
- Future-Proof Mindset: Demonstrated ability to anticipate technological trends and adapt research methodologies for emerging paradigms (e.g., quantum-inspired algorithms).
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.