Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Technologies is seeking a visionary Senior AI/ML Architect to spearhead our next-generation initiatives. As we stand on the precipice of a new era in artificial intelligence, we need a pioneer to architect scalable, robust, and transformative solutions that will power our global ecosystem.
In this role, you will not just be building models; you will be building the future. You will lead a team of elite engineers in deploying cutting-edge Generative AI and Large Language Models (LLMs), ensuring our products remain at the forefront of innovation.
Why Join Us?
We offer a competitive compensation package, comprehensive health benefits, and a culture that prioritizes continuous learning and radical innovation. Work from our state-of-the-art facility in the heart of San Francisco or join our elite remote-first team.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable machine learning infrastructure and pipelines ready for 2026 standards.
- Model Development: Spearhead the research and deployment of advanced AI models, including NLP, Computer Vision, and Reinforcement Learning.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- System Optimization: Optimize existing algorithms for speed, accuracy, and cost-efficiency to handle high-volume data streams.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate complex business requirements into technical AI solutions.
- Ethical AI: Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in machine learning engineering, with at least 3 years in a leadership or architectural role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Generative AI: Proven track record of working with LLMs, Transformers, or similar Generative AI architectures.
- Problem Solving: Exceptional ability to solve complex technical problems and design resilient systems.