Job Description
Are you ready to shape the future of technology?
At 2026, we are not just predicting what comes next; we are architecting the intelligent systems of tomorrow. We are seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. You will work at the intersection of cutting-edge research and scalable production systems, driving breakthroughs that will define the next decade of AI.
Why join 2026?
- Work on projects that redefine industry standards.
- Competitive compensation and equity package.
- Flexible work environment with a focus on innovation.
If you are passionate about building robust, scalable AI systems and want to lead a team of top-tier talent, we want to hear from you.
Responsibilities
- Architect Core AI Models: Design, develop, and deploy state-of-the-art machine learning and deep learning models that power our core products.
- Optimize Performance: Engineer high-performance inference pipelines ensuring low latency and high throughput at scale.
- Research & Development: Stay ahead of the curve by exploring novel architectures and techniques, publishing research where applicable.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and fostering a culture of technical excellence.
- Collaboration: Partner with product managers and software engineers to translate complex business requirements into technical solutions.
- System Design: Contribute to the architectural design of our cloud infrastructure and data pipelines.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 5+ years of professional experience in Machine Learning or Deep Learning engineering.
- Programming: Expert proficiency in Python, PyTorch, or TensorFlow.
- Mathematics: Strong foundation in linear algebra, calculus, and probability theory.
- Systems: Experience with distributed computing systems (e.g., Kubernetes, AWS, GCP) and large-scale data processing.
- Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.