Job Description
Are you ready to define the future of Intelligence?
At Nexus Artificial Intelligence, we are not just building models; we are architecting the cognitive layer of the next generation of digital experiences. We are seeking a visionary Senior AI Engineer to join our elite San Francisco team and drive breakthroughs in Large Language Models and Generative AI.
In this role, you will bridge the gap between theoretical research and production-scale deployment. You will work with world-class researchers and engineers to solve complex problems in natural language processing, computer vision, and autonomous systems.
Why Join Us?
- Impactful Work: Your code will power products used by millions worldwide.
- Top-Tier Talent: Collaborate with Ph.D. researchers and industry veterans.
- Competitive Compensation: $150k - $220k base + equity.
- Flexible Culture: Remote-first options with a vibrant SF office.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models using PyTorch and TensorFlow.
- System Architecture: Architect scalable MLOps pipelines to handle petabytes of data and millions of requests per second.
- Research & Innovation: Stay at the forefront of AI trends, publishing papers and implementing novel architectures.
- Code Optimization: Optimize model inference latency and accuracy for edge devices and cloud environments.
- Mentorship: Guide junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering.
- Tools: Proficiency in Python, SQL, and experience with Hugging Face, LangChain, or vector databases.
- Frameworks: Strong command of PyTorch or TensorFlow.
- Deployment: Experience deploying models to AWS, GCP, or Azure using Kubernetes.