Job Description
We are seeking a visionary Senior AI Engineer to lead our upcoming 2026 strategic initiatives. As we bridge the gap between theoretical AI and practical application, you will be responsible for architecting scalable machine learning systems that power our next-generation products. This role requires a deep understanding of Generative AI, Large Language Models (LLMs), and the ability to translate complex algorithms into production-ready software.
Key Highlights:
- Work on cutting-edge Generative AI models.
- Competitive compensation and equity package.
- Flexible hybrid work environment in the heart of SF.
About the Role:
Join a team of top-tier engineers dedicated to shaping the future of technology. You will not only build models but also define the engineering standards for our upcoming 2026 roadmap.
Responsibilities
- Design, train, and deploy state-of-the-art machine learning models for production environments.
- Optimize existing models for low latency and high throughput using MLOps best practices.
- Collaborate with product managers and data scientists to define AI requirements and roadmaps.
- Implement robust monitoring and evaluation pipelines to ensure model performance.
- Conduct research to stay ahead of industry trends and integrate them into our architecture.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, or a related field.
- 5+ years of experience in Machine Learning Engineering or Data Science.
- Proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).
- Experience with LLMs, NLP, and prompt engineering.