Job Description
We are looking for a visionary Senior AI Engineer to join our team in San Francisco. As we look toward the transformative year of 2026, we are building the next generation of autonomous agents and generative AI systems that will redefine human-computer interaction.
In this role, you won't just be maintaining models; you will architect the neural foundations of our future products. You will work at the bleeding edge of Deep Learning, optimizing inference engines for massive scale, and ensuring our AI operates with high ethical standards and zero latency.
Why Join Us?
• Work on cutting-edge LLMs and Multi-modal models.
• Competitive equity package for the 2026 boom.
• Top-tier engineering culture.
Responsibilities
- Design, train, and deploy scalable machine learning models focusing on NLP and Computer Vision.
- Optimize model inference pipelines to reduce latency and improve cost-efficiency for real-time applications.
- Collaborate with product teams to translate technical requirements into production-ready AI solutions.
- Conduct research into novel architectures for 2026-era AI capabilities, including Agents and RAG systems.
- Implement rigorous testing and validation strategies to ensure model reliability and safety.
- Mentor junior engineers and contribute to the engineering knowledge base.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in machine learning and deep learning.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Transformer architectures, Large Language Models (LLMs), and fine-tuning techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Proven track record of shipping high-impact AI products to market.