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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join 2026, a pioneering force in next-generation artificial intelligence. We are building the infrastructure that will define the future of human-machine interaction. We are looking for a visionary Senior AI Engineer to lead the development of our proprietary neural models and deploy scalable machine learning solutions that solve complex real-world problems.

If you are passionate about pushing the boundaries of what's possible with LLMs, generative AI, and predictive analytics, we want to hear from you. At 2026, you won't just write code; you will architect the intelligence of tomorrow.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing ML pipelines for speed, accuracy, and cost-efficiency in production environments.
  • Conduct rigorous research and experimentation with state-of-the-art algorithms to improve model performance.
  • Mentor junior engineers and contribute to the technical culture of innovation at 2026.
  • Ensure data privacy, security, and ethical AI practices are upheld in all implementations.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning, AI, or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience with Large Language Models (LLMs), NLP, or Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • 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 AWS GCP Docker Kubernetes SQL Agile Scrum

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