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Senior AI Research Engineer (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the next era of intelligent systems. As we look toward the 2026 horizon, Nexus Future Systems is seeking a visionary Senior AI Research Engineer to define the architecture of tomorrow's Artificial General Intelligence (AGI).

You will be at the forefront of innovation, working on proprietary models that push the boundaries of reasoning, perception, and interaction. This is not just a job; it is a chance to shape the technological landscape of 2026 and beyond.

Why Join Us?

  • Work with state-of-the-art Large Language Models (LLMs) and multimodal systems.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with access to top-tier research facilities.

Responsibilities

  • Architect and implement the core AI research roadmap for the 2026 product cycle.
  • Conduct cutting-edge research in deep learning, reinforcement learning, and neural architecture search.
  • Optimize model performance for latency, throughput, and energy efficiency.
  • Collaborate with cross-functional teams to translate theoretical research into production-grade software.
  • Mentor a team of high-potential data scientists and researchers.
  • Stay ahead of the curve on global AI trends and regulatory frameworks.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 7+ years of professional experience in Machine Learning or AI research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong mathematical background in linear algebra, calculus, and probability.
  • Experience deploying large-scale ML systems in cloud environments (AWS/GCP).
  • Demonstrated ability to lead complex technical projects and drive innovation.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Data Science Research Cloud Computing AWS GCP Distributed Systems

Ready to Take This Challenge?

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