Job Description
Are you ready to architect the future? 2026 Systems is seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. As we pioneer the next generation of artificial intelligence and neural interfaces, we need a technical leader who thrives on solving complex problems and pushing the boundaries of what's possible.
In this role, you will be at the heart of our R&D division, designing scalable architectures for large language models and autonomous agents. You will work directly with our CTO and a team of top-tier engineers to deploy solutions that will define the technological landscape of the upcoming decade.
Why join 2026 Systems?
- Impactful Work: Build AI systems that solve real-world problems at a massive scale.
- Top-Tier Compensation: Competitive salary and equity package.
- Modern Stack: Work with the latest in PyTorch, Rust, and Cloud-native infrastructure.
Join us in shaping the future of technology.
Responsibilities
- Model Architecture: Design, train, and fine-tune advanced deep learning models, focusing on NLP and computer vision.
- Infrastructure: Build and optimize high-performance inference pipelines to handle millions of requests per second.
- Research: Publish high-impact research papers and contribute to open-source communities.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Deployment: Collaborate with MLOps teams to ensure seamless integration into production environments.
- Strategy: Define the technical roadmap for our AI initiatives to align with business goals.
Qualifications
- Education: Ph.D. or Master's degree in Computer Science, Mathematics, Physics, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML research or software engineering with a strong focus on machine learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Knowledge: Deep understanding of neural networks, transformers, and distributed systems.
- Problem Solving: Exceptional ability to debug complex systems and optimize for performance.
- Communication: Strong written and verbal communication skills for technical documentation and presentations.