Job Description
Shape the Future of Intelligence in 2026
Nexus Future Tech is at the forefront of the next technological revolution. We are looking for a visionary Senior AI & Machine Learning Architect to lead our research division in defining the capabilities of Artificial Intelligence for the year 2026 and beyond.
In this pivotal role, you will not just implement existing models; you will architect the infrastructure for the next generation of Generative AI, predictive analytics, and autonomous systems. If you are passionate about pushing the boundaries of what is possible and want to define the roadmap for the future of tech, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define industry standards.
- Competitive compensation and equity packages.
- Flexible work environment in the heart of San Francisco.
- Access to top-tier computing resources and R&D budget.
Responsibilities
- Architect Next-Gen AI Solutions: Design and implement scalable machine learning pipelines and generative AI models tailored for the 2026 technology landscape.
- Model Research & Development: Lead research initiatives in Large Language Models (LLMs), computer vision, and reinforcement learning.
- Technical Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical roadmap for AI integration, ensuring alignment with company goals and future market trends.
- Performance Optimization: Continuously optimize model accuracy, latency, and resource efficiency for production environments.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI concepts into user-centric products.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- Experience: 5+ years of professional experience in machine learning engineering, with a focus on Generative AI or Large Language Models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
- Architecture: Strong understanding of distributed systems, microservices, and MLOps best practices.
- Innovation: Demonstrated ability to think creatively and solve complex problems in ambiguous environments.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.