Job Description
Are you ready to shape the future of artificial intelligence? 2026 is at the forefront of next-generation computing, building the neural architectures that will define the next decade. We are looking for a visionary Senior AI Research Scientist to join our elite team in San Francisco.
In this pivotal role, you won't just use existing tools; you'll help invent them. You will drive the research and development of Large Language Models (LLMs), generative AI, and autonomous agent systems. If you are passionate about pushing the boundaries of what's possible in machine learning and want to work in an environment that rewards innovation over convention, we want to hear from you.
Why join 2026?
- Impactful Work: Your algorithms will power real-world applications that millions of users rely on daily.
- Top-Tier Talent: Collaborate with the brightest minds in the industry.
- Future-Ready: We are building for 2026 and beyond, focusing on AGI readiness and ethical AI deployment.
Responsibilities
- Lead the design and implementation of advanced AI models, focusing on generative AI and reinforcement learning.
- Conduct cutting-edge research to improve model accuracy, efficiency, and scalability.
- Collaborate with cross-functional engineering teams to deploy research models into production environments.
- Publish high-impact research papers and contribute to the open-source community.
- Define technical roadmaps for AI infrastructure and evaluate emerging technologies.
- Mentor junior researchers and engineers, fostering a culture of continuous learning.
- Ensure AI systems are robust, fair, and aligned with ethical guidelines.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in AI/ML research, preferably in a tech company or top-tier research lab.
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
- Strong proficiency in programming languages such as Python and C++.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Experience with large-scale data processing and distributed training systems.
- Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.