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Senior AI Research Engineer - 2026 Horizon

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

Job Description

We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation artificial intelligence systems for our 2026 Horizon initiative. In this pivotal role, you will define the architecture of future synthetic intelligence, working at the intersection of deep learning, neural architectures, and ethical AI frameworks.


You will not just be building models; you will be architecting the cognitive infrastructure for a future where autonomous systems seamlessly integrate with human operations. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the tech landscape, this is your opportunity.

Responsibilities

  • Spearhead R&D: Lead the research and development of proprietary neural architectures designed for the 2026 Horizon roadmap.
  • Model Optimization: Optimize large-scale deep learning models for low-latency, high-throughput deployment in real-world environments.
  • Cross-Functional Leadership: Collaborate with quantum computing researchers to integrate classical AI with emerging quantum algorithms.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and rigorous scientific inquiry.
  • Ethical AI Governance: Implement safety protocols and fairness constraints to ensure AI outputs adhere to global ethical standards.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in deep learning, natural language processing (NLP), or computer vision.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Ray).
  • Innovation: Demonstrated history of publishing research papers or inventing novel algorithms in top-tier conferences (NeurIPS, ICML, ICLR).
  • Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Distributed Systems Research Quantum Computing

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