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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Chronos AI
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join Chronos AI and help define the technological landscape of 2026. As a leader in the AI space, we are building the systems that will shape the future of human-computer interaction. You will be responsible for designing and deploying robust machine learning models that are scalable, ethical, and transformative.

Our culture is built on innovation, transparency, and high-impact engineering. If you are passionate about the next evolution of Artificial Intelligence and want to work on problems that matter, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models, specifically targeting 2026 scalability requirements.
  • Lead the architecture of neural networks and deep learning systems for Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with product managers and data scientists to translate business requirements into technical AI solutions.
  • Optimize inference pipelines to ensure low latency and high throughput in production environments.
  • Conduct rigorous testing and validation to ensure model reliability and fairness.
  • Stay ahead of industry trends, particularly in Generative AI and Large Language Models (LLMs).

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of statistical modeling, neural networks, and optimization algorithms.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS Docker AI Engineering

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