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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development! We're seeking visionary AI Research Scientists to pioneer breakthrough technologies that will define 2026 and beyond. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into scalable solutions. Collaborate with Nobel laureates and industry pioneers in a dynamic environment where your work directly impacts global innovation.

What We Offer:

  • Cutting-edge research facilities with $10M+ in GPU infrastructure
  • Equity participation in patent-protected projects
  • Flexible remote work with quarterly in-person innovation retreats
  • Tuition reimbursement for advanced certifications

Responsibilities

  • Lead novel research in deep learning architectures and quantum machine learning
  • Develop patentable algorithms for autonomous systems and predictive analytics
  • Mentor cross-functional teams in AI implementation strategies
  • Author peer-reviewed publications for top-tier conferences (NeurIPS, ICML)
  • Collaborate with product teams to commercialize research findings
  • Secure $1M+ in annual research grants from NSF and DARPA
  • Present findings at industry summits and academic symposiums

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in neural network architecture design
  • Published research in top-tier AI/ML journals (h-index > 20)
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of translating research into production systems
  • Strong background in ethical AI and bias mitigation techniques
  • Experience securing government or corporate research funding

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Networks Research AI Ethics

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