Job Description
Are you ready to define the technology of tomorrow? 2026 Systems is seeking a visionary Senior AI Engineer to lead our next-generation research initiatives. We are building the foundational architecture for the future of generative intelligence.
In this role, you will not just implement existing models; you will architect novel solutions that push the boundaries of what is possible. Join a team of world-class engineers and researchers dedicated to solving the hardest problems in artificial intelligence.
Why Join 2026 Systems?
- Work on projects that will define the industry landscape for the coming decade.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work options.
- Access to cutting-edge hardware and cloud resources.
We are looking for someone who is not just an expert in their field, but a pioneer who is excited about the future.
Responsibilities
- Architecture Design: Design and implement scalable AI systems and neural network architectures for large-scale deployment.
- Roadmap Leadership: Define the technical roadmap for our 2026 product line, focusing on efficiency and scalability.
- Model Optimization: Fine-tune and optimize large language models (LLMs) for low-latency, high-throughput inference.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into user-friendly features.
- Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Research Integration: Stay abreast of the latest academic research and integrate breakthrough techniques into our production pipeline.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead capacity.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++.
- Infrastructure: Strong understanding of MLOps, distributed computing, and cloud platforms (AWS, GCP, or Azure).
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust, scalable solutions.