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AI Research Engineer - Future Tech 2026

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

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary **AI Research Engineer** to spearhead our cutting-edge research initiatives. In this pivotal role, you will push the boundaries of what is possible with artificial intelligence, developing next-generation algorithms that will define the technological landscape of 2026 and beyond. We offer a competitive salary, equity package, and the opportunity to work in a world-class environment in the heart of Silicon Valley.

Responsibilities

  • Design and implement novel deep learning architectures tailored for future computing paradigms.
  • Lead the research and development of scalable machine learning models for high-impact applications.
  • Collaborate with cross-functional teams to translate theoretical research into practical, deployable solutions.
  • Stay at the forefront of industry trends, including Generative AI, Reinforcement Learning, and Quantum Machine Learning.
  • Write and publish high-impact research papers in top-tier academic conferences and journals.
  • Mentor junior researchers and foster a culture of innovation and scientific rigor.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of experience in deep learning, neural networks, or natural language processing.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of publishing research in peer-reviewed venues.
  • Experience with large-scale distributed computing systems (e.g., AWS, GCP, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Generative AI Research R&D Cloud Computing Agile

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