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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Horizon AI is pioneering the future of generative AI and large-scale neural networks. We are seeking a visionary Senior AI/ML Engineer to lead our research and development division in San Francisco.


In this pivotal role, you will not just use existing models; you will push the boundaries of what's possible, optimizing architectures for efficiency, scalability, and ethical AI deployment. If you are passionate about solving complex problems and shaping the technological landscape of tomorrow, we want to hear from you.


Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first culture with a vibrant SF office.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep learning architectures.
  • Optimize existing neural networks for latency, throughput, and memory efficiency.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Conduct cutting-edge research to explore novel algorithms and techniques.
  • Implement robust MLOps pipelines for continuous integration and delivery.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML engineering.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Large Language Models (LLMs) and Transformers.
  • Experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
  • Strong background in statistical modeling and data analysis.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP MLOps Distributed Systems Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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