Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Architect to lead the development of next-generation generative AI and autonomous intelligent systems. If you are passionate about pushing the boundaries of what is possible in machine learning and want to build the infrastructure that will power the future, we want to meet you.
In this role, you will not just write code; you will architect solutions that solve complex, real-world problems at scale. You will work closely with cross-functional teams of engineers, data scientists, and product designers to deliver cutting-edge AI products that redefine user experiences.
Why join us?
- Work with state-of-the-art hardware and cloud infrastructure.
- Competitive compensation package including equity.
- Flexible remote-first culture with a premium office in downtown SF.
Responsibilities
- Design and implement scalable machine learning pipelines and infrastructure for large-scale data processing.
- Lead architectural decisions for deep learning models, ensuring high performance, accuracy, and cost-efficiency.
- Research and prototype novel algorithms to stay ahead of industry trends in AI.
- Mentor and guide a team of junior data scientists and ML engineers, fostering a culture of technical excellence.
- Collaborate with product managers to translate business requirements into technical specifications.
- Ensure production systems are robust, maintainable, and secure.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 5+ years of professional experience in machine learning engineering, software engineering, or data science.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers, LLMs).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying ML models into production environments.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.