Job Description
Are you ready to architect the intelligence of tomorrow? Nexus 2026 Labs is at the forefront of next-generation artificial intelligence, building systems that redefine human-machine interaction. We are seeking a visionary AI Architect to lead the development of our proprietary 2026 Core Neural Engine.
In this pivotal role, you will bridge the gap between theoretical machine learning and scalable production infrastructure. You will be responsible for designing robust, efficient, and ethical AI systems that can handle the computational demands of a rapidly evolving digital landscape. If you are passionate about the future of technology and want to leave a lasting legacy in the field of AI, we want to hear from you.
Why Join Nexus 2026 Labs?
- Work on cutting-edge technology with a world-class team.
- Competitive equity package and benefits.
- Flexible remote-first culture with headquarters in San Francisco.
Responsibilities
- Design and implement scalable neural network architectures tailored for high-volume data processing.
- Lead the end-to-end lifecycle of AI model development, from research and prototyping to deployment and maintenance.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to define technical requirements.
- Optimize inference latency and reduce computational costs for our core products.
- Ensure AI systems adhere to ethical guidelines, data privacy regulations, and bias mitigation standards.
- Stay ahead of industry trends in Deep Learning and generative AI to drive continuous innovation.
Qualifications
- Master’s or PhD degree in Computer Science, Machine Learning, or a related technical field.
- Minimum of 5 years of professional experience in designing and deploying large-scale machine learning systems.
- Strong proficiency in Python, TensorFlow, PyTorch, or JAX.
- Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.