Job Description
Are you ready to engineer the future? Nexus Future Systems is seeking a visionary Lead AI Architect to spearhead our next-generation research and development initiatives. In this pivotal role, you will define the technological roadmap for our upcoming 2026 product suite, focusing on autonomous decision-making systems and advanced neural architectures.
We are looking for a pioneer who is not just keeping up with the industry trends but setting them. If you have a passion for pushing the boundaries of machine learning and creating scalable, ethical AI solutions, we want to hear from you.
Why Join Nexus Future Systems?
- Work on groundbreaking projects that will define the next decade of technology.
- Competitive compensation package and equity options.
- Flexible hybrid work environment in the heart of San Francisco.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Architect and deploy scalable, high-performance deep learning models tailored for 2026 market demands.
- Lead a cross-functional team of data scientists, engineers, and product managers to drive innovation.
- Optimize existing inference pipelines to reduce latency and improve cost-efficiency.
- Define technical standards, best practices, and architectural guidelines for the AI department.
- Conduct rigorous research to evaluate emerging technologies and frameworks.
- Ensure ethical AI practices, including data privacy, bias mitigation, and transparency in automated decision-making.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 7+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architect role.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Proven track record of deploying large-scale ML systems into production environments.
- Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.