Job Description
We are standing on the threshold of a new technological era. Project 2026 is our most ambitious initiative yet, designed to redefine the boundaries of artificial intelligence and machine learning. We are looking for a visionary Senior AI Engineer to lead the architectural design and implementation of our next-generation generative models.
In this role, you will not simply maintain legacy systems; you will build the infrastructure of the future. We need a technical leader who thrives in ambiguity, possesses an insatiable curiosity, and is driven by the challenge of solving the unsolved.
Join us in San Francisco and help shape the intelligent systems of tomorrow.
Responsibilities
- Architect and deploy state-of-the-art deep learning models tailored for the Project 2026 ecosystem.
- Lead the end-to-end machine learning lifecycle, from raw data ingestion to high-performance model inference at scale.
- Collaborate closely with product strategists and research scientists to translate complex AI capabilities into intuitive user experiences.
- Optimize model performance and reduce latency to ensure real-time responsiveness in critical applications.
- Mentor junior engineers and foster a culture of technical excellence, innovation, and continuous learning.
- Research and prototype novel algorithms to stay ahead of the rapidly evolving AI landscape.
- Ensure code quality, security, and scalability across all AI infrastructure components.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional experience in AI/ML, with a specific focus on deep learning and large language models.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX, with experience in MLOps tools (MLflow, Kubeflow).
- Proven track record of deploying production-grade AI systems on major cloud platforms (AWS, GCP, or Azure).
- Strong understanding of distributed systems, high-availability architectures, and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, high-impact, remote-first environment.
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.