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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

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

Job Description

Are you ready to architect the intelligence of tomorrow? 2026 Systems is pioneering the next generation of autonomous agents and predictive models. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco and help define the roadmap for the year 2026 and beyond.

In this role, you will not just write code; you will build the cognitive infrastructure that powers our flagship products. You will work with state-of-the-art Large Language Models (LLMs) and computer vision systems, pushing the boundaries of what is possible in generative AI.

Why join 2026 Systems?

  • Work on cutting-edge AI infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in SF.
  • Opportunity to mentor junior engineers and shape the engineering culture.

If you are passionate about the future of technology and want to be part of a team that is redefining the industry, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and pipelines using Python and modern deep learning frameworks.
  • Collaborate with product managers and researchers to translate complex business requirements into technical solutions.
  • Optimize model performance for latency and throughput in high-volume production environments.
  • Conduct thorough code reviews and contribute to the technical documentation.
  • Stay abreast of the latest research in AI/ML and evaluate new technologies for integration.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps practices, including Docker, Kubernetes, and CI/CD pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Kubernetes AWS NLP Computer Vision

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