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Senior AI & Machine Learning Engineer (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 145.000 – USD 190.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are Nexus Horizon Labs, a cutting-edge research facility focused on defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI & Machine Learning Engineer to lead the development of next-generation autonomous systems and generative AI models.

In this pivotal role, you will bridge the gap between theoretical research and scalable production deployment. You will work directly with our futurist team to build the infrastructure that powers the smart cities of tomorrow. If you are passionate about the future of technology and want to leave a legacy in the 2026 tech stack, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that define the next decade of AI.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with access to state-of-the-art facilities.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for real-time data processing.
  • Research and prototype novel neural network architectures tailored for the 2026 ecosystem.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer hardware and software.
  • Optimize model performance, latency, and resource efficiency for edge computing environments.
  • Define technical standards and mentor junior data scientists and engineers.
  • Conduct rigorous testing and validation of AI safety and ethics protocols.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in building and deploying production-level ML models.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with MLOps, CI/CD, and cloud platforms (AWS/GCP/Azure).
  • Demonstrated ability to translate complex research into practical, high-impact applications.

Required Skills

Python Machine Learning Deep Learning AI PyTorch TensorFlow MLOps NLP Data Science Cloud Computing Cloud Native Linux Docker Kubernetes

Ready to Take This Challenge?

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