Job Description
Are you ready to build the future?
Nexus 2026 is a pioneer in next-generation generative intelligence. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. In this role, you won't just be building models; you will be architecting the neural pathways that define human-machine interaction in the year 2026 and beyond.
Why Join Us?
At Nexus 2026, we are solving the hardest problems in large language models (LLMs), reinforcement learning, and autonomous systems. You will work with state-of-the-art hardware and collaborate with top-tier researchers to push the boundaries of what AI can achieve.
The Role:
You will lead the design and implementation of scalable machine learning systems that power our core products. You will bridge the gap between theoretical research and production-grade deployment, ensuring our AI solutions are robust, efficient, and ethical.
Responsibilities
- Design, develop, and deploy advanced machine learning models, focusing on Deep Learning and Generative AI architectures.
- Optimize existing ML pipelines for speed, scalability, and cost-efficiency on cloud infrastructure.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest research in AI/ML and integrate cutting-edge techniques into our production systems.
- Ensure data privacy, security, and fairness in all AI implementations.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in software engineering, with a strong focus on Machine Learning.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with Large Language Models (LLMs), Transformers, and NLP techniques.
- Strong knowledge of MLOps practices, CI/CD, and containerization (Docker, Kubernetes).
- Experience with cloud platforms (AWS, GCP, or Azure) and vector databases.