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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to join 2026, a pioneer in next-generation artificial intelligence solutions. If you are passionate about pushing the boundaries of what is possible with machine learning and want to shape the future of technology, we want to meet you.

At 2026, we believe in a future where AI seamlessly integrates into every aspect of life. As a key member of our engineering team, you will be responsible for architecting robust, scalable, and ethical AI systems that drive our flagship products forward.

Join us in defining the standards of the industry and building the foundation for the digital era.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, researchers, and product managers to translate business requirements into technical solutions.
  • Optimize existing AI pipelines for speed, scalability, and cost-efficiency in cloud environments.
  • Conduct rigorous research and experimentation to stay ahead of the curve in AI trends and methodologies.
  • Mentor junior engineers and provide technical leadership within the engineering department.
  • Ensure all AI models adhere to ethical guidelines and data privacy regulations.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, C++, and at least one deep learning framework (PyTorch or TensorFlow).
  • Proven experience with NLP, Computer Vision, or Reinforcement Learning.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision MLOps AWS Kubernetes Docker

Ready to Take This Challenge?

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