Job Description
At 2026, we are building the technology that defines the future. We are a pioneer in the field of advanced computational intelligence, dedicated to solving the world's most complex problems through algorithmic innovation. We are currently seeking a Senior Machine Learning Engineer to join our elite engineering team in San Francisco.
In this pivotal role, you will be responsible for designing, training, and deploying state-of-the-art machine learning models. You will work closely with our research scientists and product leaders to turn theoretical breakthroughs into tangible products that millions will use. If you are passionate about the intersection of code and creativity, and you want to leave a lasting legacy in the tech industry, 2026 is the place for you.
Responsibilities
- Design, develop, and optimize end-to-end machine learning pipelines for production environments.
- Research and implement novel algorithms to improve model accuracy and scalability.
- Collaborate with cross-functional teams to define product requirements and technical specifications.
- Mentor junior engineers and conduct regular code reviews to maintain high engineering standards.
- Monitor model performance and implement strategies to reduce latency and improve user experience.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Minimum of 5 years of professional experience in software engineering and machine learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
- Deep understanding of cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes).