Job Description
At 2026, we are not just building software; we are architecting the next era of human-machine synergy. We are seeking a visionary Senior AI Engineer to lead our research division in San Francisco. In this role, you will be at the forefront of developing generative models and quantum-ready algorithms that will redefine the boundaries of artificial intelligence.
We believe in a culture of radical transparency and continuous innovation. As a Senior Engineer, you will have the autonomy to explore uncharted territories in neural architecture search while mentoring a team of brilliant minds. If you are passionate about building systems that think, learn, and evolve, we want to hear from you.
Responsibilities
- Lead the design and implementation of next-generation large language models (LLMs) and multi-modal AI systems.
- Optimize deep learning models for high-scale inference and training on distributed GPU clusters.
- Collaborate with cross-functional teams of data scientists, product managers, and designers to translate research into production-ready products.
- Conduct cutting-edge research in reinforcement learning and autonomous agents.
- Establish best practices for code quality, MLOps pipelines, and model governance.
- Drive technical strategy and mentor junior engineers to foster a culture of excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- 5+ years of professional experience in building and deploying machine learning systems.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of NLP, Computer Vision, or Generative AI architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL).
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.