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Senior AI Engineer | 2026 Systems

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

Job Description

We are at the forefront of the technological revolution. At 2026 Systems, we are not just predicting the future; we are building it. We are seeking a visionary Senior AI Engineer to join our elite R&D team in San Francisco. You will play a pivotal role in architecting the next generation of generative AI models, optimizing neural architectures, and deploying scalable solutions that redefine industry standards.

Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on projects that impact millions. Our culture is built on innovation, curiosity, and the relentless pursuit of excellence.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models, specifically focusing on Large Language Models (LLMs) and generative AI.
  • Optimize existing models for speed, accuracy, and cost-effectiveness in production environments.
  • Collaborate closely with data scientists and software engineers to integrate AI capabilities into our core product suite.
  • Research and prototype cutting-edge algorithms to stay ahead of the rapidly evolving AI landscape.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure data privacy, security, and ethical AI practices are adhered to in all model deployments.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5+ years of professional experience in machine learning engineering, with a proven track record of shipping production-ready models.
  • Strong proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Deep understanding of deep learning architectures, including Transformers, GNNs, and CNNs.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Generative AI NLP Cloud Computing AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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