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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior Artificial Intelligence Engineer to join Nexus Future Systems. As we pioneer the next generation of intelligent systems, you will be at the forefront of developing scalable AI solutions that redefine industry standards. If you are passionate about machine learning, deep learning, and building systems that learn and adapt, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that shape the future.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art infrastructure and research.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Optimize existing AI pipelines for speed, accuracy, and efficiency.
  • Conduct research on the latest advancements in NLP, Computer Vision, or Reinforcement Learning.
  • Mentor junior engineers and provide technical guidance on best practices.
  • Ensure model interpretability, fairness, and robustness in production environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning and software engineering.
  • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Proven experience with large-scale data processing and model training.
  • Experience deploying models to cloud environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to work in a fast-paced agile environment.

Required Skills

Python Machine Learning Deep Learning NLP Computer Vision TensorFlow PyTorch AWS GCP Agile Agile Docker Kubernetes

Ready to Take This Challenge?

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