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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development. We're pioneering next-gen AI systems that will revolutionize industries by 2026. As an AI Research Scientist, you'll collaborate with world-class teams to design, implement, and deploy cutting-edge machine learning solutions that push the boundaries of possibility.

Our culture thrives on innovation, collaboration, and intellectual curiosity. We offer competitive compensation, flexible work arrangements, and opportunities to publish research at top-tier conferences. Help us build the AI-powered future.

Responsibilities

  • Design and conduct advanced machine learning experiments using neural networks, transformers, and emerging architectures
  • Develop novel algorithms for natural language processing, computer vision, and multimodal AI systems
  • Collaborate with product teams to translate research into scalable production-ready solutions
  • Stay current with AI literature and contribute to open-source projects
  • Mentor junior researchers and present findings at internal and external forums
  • Conduct rigorous testing and validation of AI models for ethical compliance and performance

Qualifications

  • PhD or Master's in Computer Science, Machine Learning, or related field with 3+ years research experience
  • Expertise in PyTorch/TensorFlow, Python, and distributed computing frameworks
  • Published work in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong mathematical foundation in linear algebra, calculus, and probability theory
  • Experience with large-scale model training and MLOps pipelines
  • Demonstrated understanding of AI ethics, bias mitigation, and responsible AI principles
  • Ability to translate complex technical concepts for diverse stakeholders

Required Skills

Machine Learning Deep Learning Natural Language Processing Computer Vision PyTorch TensorFlow AI Ethics Research MLOps

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