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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Engineer (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join Nexus Innovations at the forefront of AI innovation as we shape the technological landscape of 2026. We're seeking a visionary AI Research Engineer to pioneer breakthroughs in machine learning, autonomous systems, and human-AI collaboration. This is your chance to work on projects that will redefine industries and impact billions of lives.

Our cutting-edge lab in San Francisco offers unparalleled resources and collaborative freedom. You'll lead research initiatives that bridge academia and industry, with opportunities to publish findings, patent innovations, and mentor the next generation of AI pioneers. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Architect and implement novel AI algorithms for next-generation autonomous systems
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI frameworks for bias mitigation and transparent decision-making
  • Collaborate with cross-functional teams to integrate research into production systems
  • Publish findings in top-tier journals and present at industry conferences
  • Mentor junior researchers and foster a culture of continuous innovation

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and distributed computing
  • Proven track record of publishing in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Strong background in reinforcement learning, computer vision, or NLP
  • Experience with MLOps and scalable AI deployment architectures
  • Demonstrated ability to translate research into production-ready solutions
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch Quantum Computing Reinforcement Learning MLOps NLP Computer Vision

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