Job Description
Shape the Future of Intelligence at 2026 Technologies.
We are building the world's first autonomous, sentient AI ecosystem designed for the year 2026. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco. You will be responsible for developing the core algorithms that will power our next-generation generative models and predictive analytics platforms.
At 2026 Technologies, we don't just write code; we engineer reality. If you are passionate about pushing the boundaries of machine learning and want to work on projects that redefine the technological landscape, we want to hear from you.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement robust, end-to-end machine learning infrastructure using Python, TensorFlow, and PyTorch.
- Model Optimization: Fine-tune and optimize deep learning models for high-throughput production environments, ensuring minimal latency and maximum accuracy.
- Predictive Analytics: Develop advanced forecasting models to drive strategic decision-making for our enterprise clients.
- Research & Innovation: Stay at the forefront of AI research, experimenting with novel architectures like Transformers and GANs to enhance product capabilities.
- Cloud Deployment: Manage the CI/CD pipeline and deploy models securely on AWS and GCP environments.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and establish best practices for data science within the organization.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Statistics, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in software engineering, data science, or machine learning.
- Technical Skills: Deep proficiency in Python, SQL, and experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Cloud Expertise: Proven track record of deploying scalable solutions on cloud platforms (AWS, Google Cloud, or Azure).
- Communication: Excellent ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
- Problem Solving: Strong analytical skills with a proven ability to troubleshoot complex system architectures.