Job Description
We are on a mission to define the future of artificial intelligence, specifically targeting the transformative capabilities anticipated by 2026. As a Senior AI/ML Engineer at Nexus Horizon AI, you won't just be building models; you will be architecting the infrastructure that powers the next generation of generative intelligence.
Join our elite engineering team in San Francisco and lead the charge in developing scalable LLMs, optimizing inference pipelines, and ensuring ethical, robust AI deployment. If you are passionate about pushing the boundaries of what is possible in machine learning and want to be at the forefront of the industry in 2026, we want to hear from you.
Why Join Us?
- Future-Proof Technology: Work on cutting-edge AI architectures designed for the 2026 landscape.
- Competitive Compensation: Top-tier salary and equity package.
- Remote-First Culture: Hybrid flexibility in the heart of SF.
Responsibilities
- Design, train, and deploy large-scale Machine Learning models, focusing on LLMs and Generative AI architectures.
- Optimize inference speed and reduce latency for real-time AI applications.
- Collaborate with data scientists and product managers to translate business requirements into technical AI solutions.
- Implement robust MLOps pipelines to ensure model reproducibility, monitoring, and continuous integration.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
- Ensure AI systems are compliant with ethical guidelines and industry standards.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.