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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

At 2026, we are not just predicting the future; we are architecting it. As a pioneering force in the next generation of predictive analytics and generative AI, we are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. You will be at the forefront of developing autonomous systems that redefine human-computer interaction, working on projects that have a tangible impact on industries worldwide.


We offer a competitive compensation package, comprehensive health benefits, and an environment that fosters radical innovation and continuous learning.

Responsibilities

  • Design, train, and deploy advanced machine learning models and deep learning architectures for scalable production environments.
  • Lead the end-to-end lifecycle of AI initiatives, from data ingestion and feature engineering to model training and MLOps implementation.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex business requirements into technical solutions.
  • Optimize existing algorithms for speed, accuracy, and efficiency, ensuring high-performance standards in real-time applications.
  • Stay abreast of the latest research in AI/ML and integrate cutting-edge techniques into our proprietary frameworks.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards across the engineering department.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (PhD preferred).
  • Minimum of 5+ years of professional experience in software engineering with a strong focus on machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong understanding of statistical analysis, linear algebra, and calculus.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of delivering scalable, high-impact AI products in a fast-paced startup environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Docker Kubernetes Natural Language Processing SQL

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