Job Description
Are you ready to shape the technological landscape of tomorrow? 2026 is at the forefront of artificial intelligence innovation, building the systems that will define the next era of human-computer interaction. We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco.
In this role, you will pioneer the development of next-generation large language models and generative AI architectures. You will work on cutting-edge projects that push the boundaries of what is possible, directly impacting millions of users worldwide. If you are passionate about the future of AI and possess the technical prowess to execute complex research at scale, we want to hear from you.
Why Join 2026?
- Work with state-of-the-art hardware and software infrastructure.
- Competitive compensation package including equity.
- Flexible remote-first culture with a hub in the heart of SF.
- Opportunity to publish research and speak at industry conferences.
Responsibilities
- Lead the design and implementation of proprietary large language models (LLMs) and deep learning architectures.
- Conduct groundbreaking research to improve model accuracy, efficiency, and generalization capabilities.
- Collaborate with cross-functional teams of engineers, product managers, and designers to translate research into scalable production systems.
- Optimize inference latency and reduce computational costs for real-time applications.
- Stay abreast of the latest advancements in AI research and integrate novel techniques into our product pipeline.
- Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related quantitative field.
- 5+ years of experience in machine learning, deep learning, or natural language processing.
- Proficiency in Python and strong programming skills in C++.
- Extensive experience with deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of optimization techniques, distributed training, and model serving.
- Demonstrated track record of publishing research papers at top-tier conferences (NeurIPS, ICML, ACL, etc.).
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.