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Senior AI Engineer - 2026 Vision

Nexus Horizon AI
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are looking for a visionary Senior AI Engineer to join our elite team at Nexus Horizon AI. As we prepare for the technological paradigm shift of 2026, we need a technical leader who is not just proficient in current tools, but is actively shaping the future of artificial intelligence.


In this role, you will architect scalable machine learning systems, pioneer new algorithms, and guide the next generation of AI innovation. If you are passionate about pushing the boundaries of what is possible and want to be at the forefront of the AI revolution, we want to hear from you.


Why Join Us?

  • Work on cutting-edge projects that define the future.
  • Competitive equity and performance-based bonuses.
  • Flexible remote-first culture with a premium office in Austin.

Responsibilities

  • Design and deploy robust, scalable machine learning infrastructure for high-traffic applications.
  • Lead R&D initiatives to pioneer novel algorithms and model architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize deep learning models for inference speed, accuracy, and resource efficiency.
  • Mentor junior engineers and establish best practices for AI development and deployment.
  • Stay abreast of the latest research in AI/ML to integrate state-of-the-art techniques into our products.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering or applied AI research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning (depending on specialization).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of shipping production-grade machine learning models.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

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