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Senior AI/ML Engineer: 2026 Horizon

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are building the architects of tomorrow's intelligence. Nexus Horizon Systems is seeking a visionary Senior AI/ML Engineer to spearhead the development of next-generation Artificial General Intelligence (AGI) systems targeted for the 2026 deployment cycle. In this role, you will not just write code; you will define the paradigms of human-machine interaction, optimizing deep learning models for unprecedented efficiency and scalability. Join a team of elite researchers and engineers dedicated to pushing the boundaries of what is possible in machine learning, computer vision, and natural language processing.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale datasets.
  • Lead research initiatives into emergent AI behaviors, focusing on long-term memory and reasoning capabilities.
  • Optimize model inference speeds for edge devices and cloud environments to support real-time applications.
  • Collaborate with cross-functional teams to translate complex technical concepts into consumer-friendly products.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Evaluate and integrate novel algorithms to enhance the accuracy and ethical safety of our models.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Deep Learning, Machine Learning, or Reinforcement Learning.
  • Extensive proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or open-sourcing high-impact projects.
  • Strong understanding of distributed systems, cloud computing (AWS/Azure/GCP), and MLOps pipelines.
  • Excellent communication skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP CUDA Cloud Computing MLOps Distributed Systems Reinforcement Learning

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