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Senior AI/ML Research Engineer (Future of 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Horizon Labs is seeking a visionary Senior AI/ML Research Engineer to spearhead the development of breakthrough artificial intelligence systems designed for the landscape of 2026 and beyond.


We are not just building models; we are defining the future of human-computer interaction. In this high-impact role, you will push the boundaries of what is possible in generative AI, reinforcement learning, and scalable neural architectures. Join a world-class team of researchers and engineers dedicated to solving the most complex challenges in artificial intelligence.

Responsibilities

  • Lead the research and development of next-generation Large Language Models (LLMs) and multimodal AI systems.
  • Architect and optimize distributed training pipelines for petabyte-scale datasets.
  • Collaborate with cross-functional teams to integrate cutting-edge AI models into production environments.
  • Publish original research in top-tier conferences (NeurIPS, ICML, ICLR) to advance the field.
  • Ensure model robustness, safety, and ethical alignment with human values.
  • Experiment with novel architectures and algorithms to improve model efficiency and accuracy.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong mathematical foundation in linear algebra, calculus, and probability theory.
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS, GCP, Azure).
  • Demonstrated ability to publish high-impact research papers and patents.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS GCP Research

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