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Artificial Intelligence 🏒 Full Time ⭐️ Verified

AI/ML Engineer - Future Tech Visionary (2026 Focus)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the future of intelligence, specifically tailored for the technological landscape of 2026 and beyond. Nexus Horizon AI is seeking a highly skilled AI/ML Engineer to join our elite research division.

In this role, you will architect the neural networks that will power the next generation of autonomous systems, ensuring our clients stay ahead of the curve. We are looking for a visionary who thrives in ambiguity and is passionate about pushing the boundaries of what is possible in artificial intelligence.

Why Nexus Horizon AI?

  • Work on cutting-edge projects that define the roadmap for 2026.
  • Competitive compensation and equity packages for top talent.
  • Flexible remote-first culture with access to top-tier tech infrastructure.
  • Opportunity to mentor junior engineers and shape technical strategy.

Responsibilities

  • Lead the design and deployment of proprietary deep learning models focused on long-term scalability.
  • Optimize existing algorithms for efficiency and performance in high-volume environments.
  • Collaborate with product and engineering teams to integrate AI solutions into core products.
  • Research and prototype emerging trends in Generative AI and Large Language Models.
  • Ensure data integrity and implement robust MLOps pipelines for model deployment.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in machine learning engineering or applied research.
  • Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of distributed computing, cloud infrastructure (AWS/GCP), and Docker.
  • Experience with Natural Language Processing (NLP) or Computer Vision is a plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker MLOps Scikit-learn

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