Job Description
Shape the Future of Intelligence
We are seeking a visionary Senior Generative AI Engineer to lead the development of next-generation Large Language Models (LLMs) and multimodal systems. As we look toward the 2026 technological horizon, our mission is to build ethical, scalable, and highly performant AI solutions that redefine human-computer interaction. If you are passionate about pushing the boundaries of transformer architectures and want to work in a high-impact environment, we want to meet you.
Why Join Us?
- Work with state-of-the-art infrastructure and cutting-edge research.
- Competitive equity package and top-tier compensation.
- Flexible remote-first culture with access to world-class amenities in San Francisco.
Responsibilities
- Architect and train proprietary large language models, optimizing for inference speed and memory efficiency.
- Implement advanced Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and reduce hallucinations.
- Collaborate with cross-functional teams of data scientists, product managers, and UX designers to integrate AI features into consumer-facing products.
- Conduct rigorous testing and evaluation of model performance, focusing on fairness, bias mitigation, and safety protocols.
- Stay abreast of the latest research in deep learning and contribute to internal technical blogs and patent filings.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 5+ years of professional experience in machine learning engineering, specifically with deep learning frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of deploying LLMs or generative models at scale in production environments.
- Deep understanding of transformer models, attention mechanisms, and natural language processing (NLP) techniques.
- Experience with MLOps tools (MLflow, Kubeflow, DVC) and cloud platforms (AWS, GCP, Azure).
- Strong programming skills in Python and proficiency in SQL and distributed systems.