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Senior AI Research Engineer | Project 2026 | San Francisco

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI Research Engineer to join Project 2026, our elite initiative dedicated to architecting the next generation of generative artificial intelligence. As a leader in the tech space, Nexus Future Systems is committed to pushing the boundaries of what is possible in 2026 and beyond.

In this role, you will define the core algorithms that will power our flagship products, working in a high-performance environment that fosters innovation and excellence.

Responsibilities

  • Architect Next-Gen Models: Design and implement cutting-edge deep learning architectures for Project 2026, focusing on scalability and efficiency.
  • Research Leadership: Lead high-impact research projects in Natural Language Processing (NLP) and Computer Vision, publishing findings in top-tier venues.
  • System Optimization: Optimize existing models for low-latency inference and reduced computational costs, ensuring seamless user experiences.
  • Cross-Functional Collaboration: Partner with product managers and engineers to translate theoretical research into production-ready features.
  • Strategic Innovation: Monitor emerging AI trends and propose technical roadmaps to maintain our competitive edge in the evolving landscape.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML research, with a strong portfolio of published papers or deployed models.
  • Technical Skills: Proficiency in Python, PyTorch, and TensorFlow; deep understanding of distributed systems and cloud infrastructure (AWS/GCP).
  • Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to mentor junior researchers.
  • Passion: A deep passion for the future of AI and a desire to solve complex, ambiguous problems.

Required Skills

AI Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision Research Distributed Systems AWS GCP

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