Job Description
Are you ready to architect the systems that will define the next decade of human evolution? Nexus Future Labs is seeking a visionary Senior AI Engineer to lead our cutting-edge research into Generative AI, Autonomous Agents, and Ethical Intelligence.
In this role, you won't just write code; you will build the infrastructure for tomorrow. You will work at the intersection of deep learning, large language models, and cognitive computing. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work on high-impact projects that shape global industry standards.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with a state-of-the-art office in the heart of SF.
Responsibilities
- Design and implement scalable neural network architectures for complex prediction and generation tasks.
- Research and fine-tune state-of-the-art Large Language Models (LLMs) for enterprise applications.
- Collaborate with cross-functional teams including product managers, ethicists, and security experts.
- Optimize model inference latency and reduce computational costs for production deployment.
- Establish and enforce best practices for AI model governance, explainability, and safety.
- Lead code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with a strong focus on NLP or Computer Vision.
- Proficiency in Python, PyTorch, and TensorFlow.
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP).
- Strong understanding of statistical learning theory and deep learning algorithms.
- Demonstrated ability to translate complex research papers into production-ready code.