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Senior AI Engineer - Shaping the Future (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the brink of a technological renaissance. As we look toward the AI horizon of 2026, Nexus Horizon Labs is seeking a visionary Senior AI Engineer to lead our next-generation research division. You will be instrumental in architecting the systems that will define the future of human-computer interaction and autonomous decision-making.

In this pivotal role, you will bridge the gap between theoretical research and practical application, pushing the boundaries of what is possible with Generative AI and Large Language Models (LLMs). Join a team of elite engineers and data scientists committed to building the infrastructure for tomorrow.

Responsibilities

  • Lead Research & Development: Spearhead the design and implementation of cutting-edge AI models targeting the 2026 technological landscape, focusing on efficiency and scalability.
  • Architectural Vision: Design robust, distributed machine learning systems that can handle high-volume data streams in real-time.
  • Model Optimization: Optimize existing neural networks and develop novel architectures to improve inference speed and accuracy.
  • Cross-Functional Leadership: Collaborate with product managers and engineering teams to translate complex AI concepts into user-centric features.
  • Mentorship: Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Experience: 5+ years of experience in developing and deploying production-level machine learning models.
  • Domain Knowledge: Strong understanding of Transformer architectures, Natural Language Processing (NLP), and Computer Vision.
  • Tools: Proven track record with cloud platforms (AWS/GCP/Azure) and MLOps pipelines (Kubernetes, Docker, MLflow).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Computer Vision MLOps AWS Kubernetes Docker

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