Job Description
We are 2026 AI, a pioneering force in the future of generative intelligence. Our mission is to architect the next evolution of human-machine interaction, building systems that are not only smarter but more efficient and ethical. We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco.
In this role, you will lead the research and development of cutting-edge Large Language Models (LLMs) and multimodal systems. You will work in a high-performance environment that values autonomy, radical transparency, and technical excellence. If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.
Why Join 2026 AI?
- Work on projects that will define the industry standard for the next decade.
- Competitive compensation package including equity and benefits.
- Access to state-of-the-art compute infrastructure and data sets.
- A collaborative culture that encourages risk-taking and innovation.
Responsibilities
- Lead the architecture and training of next-generation neural networks and foundation models.
- Optimize model inference speed and scalability for real-time applications.
- Collaborate with cross-functional product teams to translate research into production-ready APIs.
- Mentor junior researchers and conduct code reviews to maintain high technical standards.
- Stay abreast of the latest academic research and implement novel techniques in our production pipeline.
- Design robust evaluation frameworks to measure model performance and safety.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in deep learning, NLP, or computer vision.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL, etc.).
- Experience with distributed training systems and large-scale data processing (e.g., Ray, Spark).
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.