Job Description
We are pioneering the technological landscape of 2026. Nexus Horizon Labs is looking for a visionary Future Tech Lead to architect the next generation of intelligent systems. In this role, you will bridge the gap between theoretical AI advancements and practical application, ensuring our platforms are ready for the future.
As a key player in our R&D division, you will define the roadmap for autonomous agents, neural interfaces, and next-gen machine learning models. You will work in a collaborative environment that values innovation, speed, and ethical responsibility.
Why Join Us?
- Work on cutting-edge 2026-ready technology stacks.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a central hub in San Francisco.
Responsibilities
- Architect Future AI Systems: Design and implement scalable machine learning pipelines optimized for next-generation computing paradigms.
- Lead Autonomous Development: Spearhead the development of autonomous agents capable of complex decision-making and human-like interaction.
- Model Optimization: Continuously refine and optimize Large Language Models (LLMs) for performance and efficiency in 2026 standards.
- Future-Proofing: Conduct research on emerging technologies (e.g., Quantum AI, Neuromorphic Computing) to integrate into our core stack.
- Technical Mentorship: Guide a team of junior engineers and data scientists in adopting best practices for future tech development.
Qualifications
- Education: MS or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 5+ years of experience in Machine Learning Engineering or AI Research.
- Core Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks.
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP) and Computer Vision.
- Future-Ready Mindset: Demonstrated ability to adapt to rapidly evolving technology landscapes and paradigms.
- Leadership: Strong track record of leading technical teams and delivering complex projects on time.