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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite engineering team at Nexus Horizon. As we prepare to define the technological landscape for the 2026 era, you will be at the forefront of building scalable, intelligent systems that solve complex global challenges. If you are passionate about pushing the boundaries of generative AI and neural architectures, this is your opportunity to lead innovation.

Why Join Nexus Horizon?
Work with the best minds in the industry. We offer a competitive compensation package, equity options, and a flexible remote-first culture that prioritizes your growth and well-being.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and neural networks to support business objectives and 2026 strategic goals.
  • Optimize existing algorithms for high performance, scalability, and low latency in cloud environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into technical solutions.
  • Lead the research and implementation of state-of-the-art Large Language Models (LLMs) and computer vision applications.
  • Mentor junior engineers and conduct code reviews to ensure best practices in AI development.
  • Monitor model performance and accuracy, implementing continuous integration and deployment (CI/CD) pipelines for machine learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of statistical modeling, natural language processing (NLP), and deep learning architectures.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning NLP Docker Kubernetes SQL

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