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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer - Vision 2026

Nexus Horizon
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Welcome to Nexus Horizon, where we are architecting the future of intelligence. We are seeking a visionary Senior AI & Machine Learning Engineer to join our core engineering team and lead the development of our proprietary algorithms for the Vision 2026 roadmap.


In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work directly with our Chief Technology Officer to define the technical strategy that will power our next-generation applications. If you are passionate about building robust, ethical, and high-performance AI systems, we want to hear from you.


Why Join Us?

  • Impact: Own the architecture for our flagship AI products.
  • Future-Proof: Work on cutting-edge technologies that define the landscape of 2026 and beyond.
  • Culture: A diverse, remote-first culture that values innovation and autonomy.

Responsibilities

  • Design, train, and deploy advanced machine learning models (LLMs, Computer Vision, NLP) focused on the 2026 strategic goals.
  • Lead the architecture of data pipelines, ensuring high availability, scalability, and data integrity.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Optimize existing models for inference speed and resource efficiency on cloud infrastructure.
  • Stay ahead of industry trends in AI ethics and regulatory compliance.

Qualifications

  • Master’s degree in Computer Science, Statistics, or a related field (PhD preferred).
  • Minimum of 5+ years of experience in machine learning engineering and full-stack development.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps practices, CI/CD pipelines, and model versioning.
  • Proven track record of shipping production-ready AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Docker Kubernetes Natural Language Processing

Ready to Take This Challenge?

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