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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the next decade? Nexus Horizon AI is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this pivotal role, you will be at the forefront of developing next-generation algorithms that will power the digital landscape of 2026 and beyond.


We are building the systems that will redefine human-computer interaction. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and generative AI, we want to hear from you.


Why Join Us?

  • Work on cutting-edge projects that will shape the future of technology.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a hub in the heart of SF.

Apply today to become a key architect of our 2026 roadmap.

Responsibilities

  • Architect and deploy scalable machine learning models designed for high-velocity data environments.
  • Lead the research and implementation of novel deep learning architectures to solve complex industry problems.
  • Collaborate with cross-functional product teams to integrate AI solutions into core software products.
  • Optimize neural networks for latency, throughput, and energy efficiency.
  • Establish best practices for MLOps and model governance.
  • Mentor junior engineers and foster a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in designing, training, and deploying production-level AI models.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Proven expertise in Natural Language Processing (NLP) or Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of statistical analysis and data modeling techniques.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP Computer Vision MLOps AWS GCP Docker Kubernetes Data Science

Ready to Take This Challenge?

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

Apply Now

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