Job Description
Are you ready to shape the technological landscape of tomorrow? 2026 Technologies is a premier AI research lab dedicated to solving the most complex challenges of the next decade. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco.
In this pivotal role, you will be at the forefront of developing next-generation machine learning systems that redefine industry standards. You will work with cutting-edge architectures, pushing the boundaries of what is possible in deep learning and predictive analytics. If you are passionate about innovation and have a drive to build systems that matter, we want to hear from you.
Why Join 2026 Technologies?
- Work on groundbreaking projects with a world-class engineering team.
- Competitive compensation and comprehensive benefits package.
- Flexible work environment with a focus on work-life balance.
- Access to the latest hardware and research tools.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms tailored for enterprise-scale applications.
- Lead the architecture of AI systems, ensuring high performance, security, and scalability.
- Collaborate with cross-functional teams of data scientists, researchers, and product managers to translate business needs into technical solutions.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Stay abreast of the latest advancements in AI research and integrate relevant innovations into our product pipeline.
- Optimize existing models for improved inference speed and reduced computational costs.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a proven track record of shipping production-ready products.
- Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Experience with MLOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure).
- Deep understanding of neural network architectures, NLP, or Computer Vision.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.