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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NexusAI Solutions
San Francisco
Salary Estimate
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join NexusAI Solutions at the forefront of artificial intelligence innovation. We're seeking a visionary Senior AI Research Scientist to develop cutting-edge machine learning models that solve real-world challenges. Our dynamic team collaborates with Fortune 500 partners to deploy AI solutions in healthcare, finance, and autonomous systems. Enjoy a culture of continuous learning, flexible work arrangements, and competitive equity packages. If you're passionate about pushing AI boundaries and making tangible impact, we want you.

Responsibilities

  • Design and implement novel deep learning architectures for natural language processing and computer vision applications
  • Lead research initiatives to advance state-of-the-art AI techniques in reinforcement learning and generative models
  • Collaborate with cross-functional teams to translate research prototypes into scalable production systems
  • Publish findings in top-tier AI conferences (NeurIPS, ICML, CVPR) and contribute to open-source projects
  • Mentor junior researchers and drive innovation through experimental design and rapid prototyping
  • Develop ethical AI frameworks ensuring responsible deployment and bias mitigation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven expertise in PyTorch/TensorFlow and distributed training frameworks
  • Publication record at premier AI conferences or equivalent industry impact
  • Strong background in transformer architectures and large-scale model optimization
  • Experience with MLOps pipelines and cloud deployment (AWS/GCP/Azure)
  • Exceptional problem-solving skills with ability to handle ambiguous technical challenges
  • Fluency in Python, C++, and high-performance computing environments

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Natural Language Processing Computer Vision Reinforcement Learning MLOps Distributed Systems

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