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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Pioneering the 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Horizon Labs and help define the technological landscape of 2026. We are a cutting-edge research organization building the next generation of autonomous systems and predictive intelligence. We are looking for a visionary Senior AI Engineer who isn't just building models, but architecting the future.

The Role:

You will lead the technical strategy for our core AI infrastructure, working on complex problems that push the boundaries of current technology. If you are driven by innovation and want to work in an environment where your code impacts the world, this is the place for you.

What You'll Do:

  • Architect scalable machine learning pipelines for high-volume data processing.
  • Develop and optimize deep learning models (NLP/CV) for production deployment.
  • Research and implement novel algorithms to stay ahead of industry trends.
  • Collaborate with cross-functional teams to integrate AI solutions into product ecosystems.
  • Mentor junior engineers and ensure code quality and best practices.
  • Drive the roadmap for AI tools and infrastructure.

Ready to build the future? Apply today.

Responsibilities

  • Design and maintain robust machine learning infrastructure and deployment pipelines.
  • Conduct research to prototype advanced AI models aligned with our 2026 roadmap.
  • Optimize model inference latency and resource utilization.
  • Partner with product teams to translate business objectives into technical AI solutions.
  • Establish MLOps practices for monitoring, logging, and retraining models.
  • Write clean, efficient, and well-documented code.

Qualifications

  • PhD or Master’s degree in Computer Science, AI, or a related field.
  • 5+ years of professional experience in AI/ML engineering or research.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP) and containerization (Docker/Kubernetes).
  • Deep understanding of statistical analysis and machine learning theory.
  • Experience with MLOps tools and version control (Git).

Required Skills

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

Ready to Take This Challenge?

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

Apply Now

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