Job Description
Shape the Future of AI with Nexus Future Systems
Are you ready to architect the solutions that will define the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we accelerate our roadmap towards next-generation intelligence, we need a technical leader who can bridge the gap between theoretical innovation and scalable, production-ready code.
In this role, you won't just maintain existing models; you will build the foundational systems that power our next decade of growth. We offer a competitive package, a remote-first culture with a focus on innovation, and the opportunity to work on projects that impact millions globally.
Why Join Us?
- Work on cutting-edge generative AI and predictive modeling projects.
- Competitive compensation package with equity options.
- Professional development budget for conferences and certifications.
- Flexible work hours and a collaborative, inclusive environment.
Responsibilities
- Design, train, and deploy advanced machine learning models using Python, TensorFlow, and PyTorch.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Optimize existing ML pipelines for speed, scalability, and cost-efficiency in cloud environments.
- Conduct rigorous testing and validation to ensure model accuracy and robustness.
- Stay at the forefront of AI trends and integrate new technologies into our architecture.
- Mentor junior engineers and establish best practices for code quality and documentation.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).
- 5+ years of professional experience in AI/ML engineering with a strong focus on Deep Learning.
- Proficiency in programming languages such as Python and SQL.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.