Job Description
Architecting the Intelligence of Tomorrow. Nexus Future Systems is at the forefront of the next technological revolution. We are looking for a visionary Senior AI/ML Architect to spearhead the development of autonomous systems and generative models that will define the industry standard for 2026 and beyond.
In this pivotal role, you will bridge the gap between cutting-edge research and scalable production engineering. You will lead a world-class team in building ethical, efficient, and robust AI ecosystems that power our global platforms.
Why This Role?
- Be a Pioneer: Work on technologies that are currently shaping the roadmap of the future.
- High Impact: Directly influence the architecture of systems that millions will use.
- Top-Tier Environment: Collaborate with industry leaders in a state-of-the-art facility in the heart of San Francisco.
Key Responsibilities
- Design and implement scalable deep learning architectures, focusing on LLMs and Computer Vision.
- Optimize model inference and training pipelines for high-performance hardware (GPUs/TPUs).
- Drive the adoption of MLOps best practices to ensure model reliability and deployment speed.
- Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
- Research and prototype novel algorithms to maintain a competitive edge in the 2026 landscape.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- 10+ years of experience in AI/ML engineering with a proven track record of leadership.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Deep knowledge of distributed systems and cloud infrastructure (AWS/GCP/Azure).
- Strong understanding of ethics in AI and bias mitigation strategies.
Responsibilities
- Design and implement scalable deep learning architectures, focusing on LLMs and Computer Vision.
- Optimize model inference and training pipelines for high-performance hardware (GPUs/TPUs).
- Drive the adoption of MLOps best practices to ensure model reliability and deployment speed.
- Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
- Research and prototype novel algorithms to maintain a competitive edge in the 2026 landscape.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- 10+ years of experience in AI/ML engineering with a proven track record of leadership.
- Expert proficiency in Python, PyTorch, TensorFlow, and C++.
- Deep knowledge of distributed systems and cloud infrastructure (AWS/GCP/Azure).
- Strong understanding of ethics in AI and bias mitigation strategies.