Job Description
Join the Vanguard of Artificial Intelligence
We are Nexus Horizon Labs, a premier think-tank and tech innovator. We are looking for a visionary Senior AI Research Engineer to help architect the technological roadmap for the year 2026 and beyond. This is not just a job; it is an opportunity to define the future of human-machine interaction.
In this role, you will lead a cross-functional team in developing next-generation Large Language Models (LLMs) and autonomous agents. If you are passionate about pushing the boundaries of what is possible in AI and want to work in the heart of Silicon Valley, we want to hear from you.
Responsibilities
- Architect Future Tech: Design and implement cutting-edge AI models focused on scalability and ethical deployment for the 2026 market.
- Research Leadership: Publish high-impact research papers and lead internal R&D initiatives in Generative AI and Reinforcement Learning.
- Prototype Development: Build proof-of-concept systems that bridge theoretical research and practical product application.
- Strategic Roadmap: Collaborate with C-suite executives to define the technical vision and 3-year roadmap for our core AI platforms.
- Talent Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Performance Optimization: Ensure AI systems run efficiently on edge devices and cloud infrastructures with minimal latency.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for non-technical stakeholders and investors.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML, with a strong portfolio of published research or shipped products.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- Language Model Expertise: Proven track record of training, fine-tuning, or deploying Large Language Models (LLMs).
- Mathematical Proficiency: Solid foundation in linear algebra, calculus, probability, and statistics.
- Problem Solving: Exceptional ability to solve complex, open-ended problems in ambiguous environments.
- Certifications: AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer is a plus.