Job Description
At 2026 Systems, we are pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Product Engineer to join our elite team in San Francisco. In this pivotal role, you will bridge the gap between advanced machine learning research and scalable production engineering. You will help define the architecture of systems that will shape the technological landscape of the decade. If you are driven by the challenge of solving complex problems and building the future, we want you on our team.
Why join 2026 Systems?
- Work on cutting-edge AI models that redefine human-machine interaction.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to top-tier hardware and research resources.
Responsibilities
- Architect and deploy scalable machine learning pipelines optimized for high-velocity environments.
- Collaborate with cross-functional product teams to translate strategic vision into robust technical solutions.
- Lead the end-to-end development of AI features, from prototype to production deployment.
- Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
- Monitor model performance and implement real-time optimizations to ensure accuracy and efficiency.
- Stay abreast of the latest advancements in Generative AI, Large Language Models (LLMs), and Deep Learning.
Qualifications
- Master’s degree or PhD in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
- 7+ years of professional software development experience with a specific focus on Machine Learning and AI.
- Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with data engineering, feature engineering, and MLOps practices.
- Demonstrated ability to work in an agile environment and manage multiple competing priorities.