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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

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

Job Description

Are you ready to architect the technological landscape of 2026? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in generative intelligence and predictive modeling.

We are not just building software; we are defining the future of human-machine interaction. In this role, you will pioneer algorithms that bridge the gap between current capabilities and the next generation of AI evolution. If you are driven by complexity and possess a passion for ethical, scalable AI, we want to hear from you.

Why join us?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with hubs in San Francisco.

Responsibilities

  • Design and implement advanced machine learning models and neural architectures tailored for 2026-era computational requirements.
  • Lead the full research lifecycle, from hypothesis generation to production deployment, focusing on generative AI and large language models.
  • Collaborate with cross-functional teams to translate theoretical AI concepts into practical, high-impact products.
  • Ensure model robustness, fairness, and ethical alignment through rigorous testing and validation.
  • Optimize training pipelines for speed and efficiency on distributed computing clusters.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence research.
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience deploying models at scale in cloud environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Cloud Computing Distributed Systems Algorithms

Ready to Take This Challenge?

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