Job Description
Are you ready to define the technological landscape of the future? 2026 is seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. We are building the next generation of autonomous systems and generative intelligence models that will redefine human-machine interaction. If you thrive in a fast-paced, high-impact environment and want to work on cutting-edge technology, this is your opportunity.
At 2026, we believe in pushing the boundaries of what is possible. You will be responsible for designing, training, and deploying scalable machine learning models that power our core products. You will work closely with cross-functional teams of data scientists, product managers, and designers to turn complex data into elegant solutions.
Responsibilities
- Design & Development: Architect and implement state-of-the-art AI and machine learning models using Python and modern deep learning frameworks.
- Deployment: Oversee the end-to-end deployment of models to production environments, ensuring high availability and performance.
- Optimization: Continuously monitor, evaluate, and optimize model performance to improve accuracy and reduce latency.
- Research: Stay abreast of the latest advancements in AI research and integrate relevant innovations into our product pipeline.
- Collaboration: Partner with product and engineering teams to translate business requirements into technical specifications.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering, data science, or a similar role.
- Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- System Design: Experience with distributed systems and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with data-driven approaches.
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.