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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of artificial intelligence innovation. As an AI Research Scientist, you'll pioneer breakthroughs in machine learning and neural networks that will redefine industries by 2026. Our San Francisco-based team collaborates with Fortune 500 partners to develop scalable AI solutions for autonomous systems, healthcare diagnostics, and climate modeling.

We offer a dynamic environment where your research directly impacts real-world applications. With competitive compensation, flexible work arrangements, and access to state-of-the-art computational resources, you'll have everything needed to accelerate your career while solving humanity's most pressing challenges.

Responsibilities

  • Lead cutting-edge research in deep learning architectures for next-generation AI systems
  • Design and implement novel algorithms for unsupervised learning and generative models
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through internal tech talks
  • Develop patentable methodologies for ethical AI deployment
  • Partner with industry leaders to identify emerging AI applications

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in AI research with publications at NeurIPS/ICML/ICLR
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record of deploying ML models at scale (>10M users)
  • Strong background in reinforcement learning or computer vision
  • Demonstrated ability to secure research funding through grants or partnerships
  • Excellent communication skills with technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Natural Language Processing Computer Vision Reinforcement Learning

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