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Senior AI/ML Engineer - Future Tech

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join Nexus Horizon Systems, a pioneer in the next generation of autonomous intelligence. As we prepare to deploy our flagship systems for the 2026 market, we need a technical leader who can bridge the gap between theoretical research and production-grade deployment.

In this role, you will not just write code; you will architect the neural networks that will define the future of human-machine interaction. You will work in a collaborative, high-performance environment where innovation is not just encouraged—it is the standard. If you are passionate about building scalable AI solutions and want to leave a lasting legacy in the tech industry, we want to hear from you.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) architectures.
  • Competitive equity package and top-tier healthcare benefits.
  • Flexible remote-first policy with a hub in the heart of San Francisco.
  • Opportunity to mentor junior engineers and shape the technical culture.

Responsibilities

  • Design, train, and deploy scalable machine learning models using Python and TensorFlow/PyTorch.
  • Optimize existing algorithms for speed and accuracy, focusing on real-time inference capabilities.
  • Collaborate with cross-functional teams including data engineers, product managers, and designers.
  • Conduct research into new AI methodologies and evaluate their applicability to our product roadmap.
  • Implement MLOps pipelines to ensure continuous integration and delivery of models.
  • Document technical architecture and maintain comprehensive code repositories.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, C++, and SQL.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying models to production environments handling high traffic.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

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