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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Hyperion Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to shape the future of technology? Hyperion Dynamics is seeking a visionary Senior AI Engineer to lead our next-generation artificial intelligence initiatives. In this pivotal role, you will architect scalable machine learning systems and drive innovation in deep learning and natural language processing. We are looking for a thought leader who thrives in a fast-paced environment and is passionate about solving complex, real-world problems with cutting-edge AI solutions.

We offer a competitive benefits package, including equity, remote work flexibility, and continuous learning opportunities. Join us in defining the trajectory of AI in the enterprise sector.

Responsibilities

  • Architect and deploy state-of-the-art deep learning models for high-scale production environments.
  • Collaborate closely with product managers and software engineers to integrate AI capabilities into consumer and enterprise applications.
  • Optimize model performance, inference latency, and resource utilization to ensure cost-effective deployment.
  • Conduct cutting-edge research to stay ahead of the curve in AI advancements, specifically in LLMs and Computer Vision.
  • Mentor junior engineers and establish best practices for MLOps, data governance, and ethical AI.
  • Define and implement data pipelines that ensure high-quality, unbiased training data.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Strong understanding of Transformer architectures, Large Language Models (LLMs), and NLP techniques.
  • 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 NLP PyTorch TensorFlow MLOps AWS GCP Kubernetes LLMs Transformer Architecture

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