Job Description
Are you ready to build the intelligence that will define the next era of humanity?
At Nexus Horizon Labs, we aren't just building AI; we are architecting the foundation for a future in 2026 and beyond. We are seeking a visionary Advanced AI Research Engineer to lead our cutting-edge initiatives in Generative AI, Large Language Models (LLMs), and Autonomous Systems.
In this role, you will push the boundaries of what is possible, working on projects that bridge the gap between current neural networks and AGI (Artificial General Intelligence). You will collaborate with world-class engineers and data scientists to deploy scalable, ethical, and powerful AI solutions that solve complex global challenges.
Why Join Us?
- Work on the Frontier: Tackle unsolved problems that will define the industry landscape in 2026.
- Impact: Your research will directly influence products used by millions.
- Equity: Competitive compensation package including stock options.
- Flexibility: Hybrid work model in the heart of San Francisco.
Responsibilities
- Lead Research Initiatives: Spearhead research projects focused on next-generation NLP, computer vision, and reinforcement learning architectures.
- Infrastructure Design: Design and implement scalable machine learning pipelines and infrastructure to support high-traffic production environments.
- Model Optimization: Conduct rigorous experimentation and model optimization to improve accuracy, efficiency, and reduce inference costs.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex research breakthroughs into deployable, user-friendly applications.
- Emerging Tech Monitoring: Stay ahead of the curve on emerging AI trends, including Transformers, Diffusion Models, and Agent-based systems.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of experience in machine learning, deep learning, or AI research.
- Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, and MLOps tools (MLflow, Kubeflow, DVC).
- Publications: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR, ACL).
- Problem Solving: Exceptional analytical skills and ability to thrive in a fast-paced, ambiguous environment.