Job Description
We are seeking a visionary Senior AI Research Engineer to join Project 2026, our groundbreaking initiative to redefine the boundaries of artificial general intelligence. If you are passionate about the future of technology and want to architect the systems that will power the next decade of innovation, this is your opportunity.
As a key member of our elite R&D team, you will work at the intersection of machine learning, distributed systems, and ethical AI. You will not just use existing tools; you will help build the future stack. Our culture is built on autonomy, impact, and excellence. We offer competitive compensation, equity packages, and the chance to work on problems that matter.
Why Join Us?
- Work on cutting-edge AI architectures.
- Competitive salary and equity package.
- Flexible remote-first policy with premium office amenities in San Francisco.
- Opportunity to publish in top-tier conferences and shape industry standards.
Responsibilities
- Lead the research and development of next-generation neural network architectures tailored for Project 2026.
- Design and implement scalable machine learning pipelines capable of processing petabytes of data in real-time.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to translate theoretical research into production-ready solutions.
- Mentor junior researchers and contribute to the technical vision of the organization.
- Publish high-impact research papers and present findings at international conferences.
- Optimize model inference latency and accuracy to meet enterprise-grade performance benchmarks.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
- Minimum of 5 years of experience in machine learning research or software engineering.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR, etc.).
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of deep learning fundamentals, distributed systems, and cloud computing (AWS/GCP).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.