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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Are you ready to engineer the future? Nexus Horizon is seeking a visionary Senior AI/ML Engineer to lead our next-generation intelligence division. We are building the infrastructure that will power the world's most advanced cognitive systems by 2026.

In this role, you won't just write code; you will architect the algorithms that define how machines understand and interact with the world. Join a team of elite problem-solvers at the forefront of Generative AI and Large Language Models.

Why Join Us?

  • Work with cutting-edge technology in a fully remote-first environment.
  • Competitive equity package and health benefits.
  • Flexible PTO and continuous learning stipends.

Ready to shape the future? Apply today.

Responsibilities

  • Design, train, and deploy scalable machine learning models for real-time applications.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Optimize existing models for speed, accuracy, and resource efficiency.
  • Conduct research to stay ahead of industry trends in NLP, Computer Vision, or Reinforcement Learning.
  • Mentor junior engineers and establish best practices for the AI engineering team.
  • Implement rigorous testing and validation protocols to ensure model robustness.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning or artificial intelligence.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of deep learning architectures (Transformers, GANs, RNNs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

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

Ready to Take This Challenge?

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

Apply Now

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