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Senior AI Research Scientist

NexusAI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join NexusAI Labs at the forefront of artificial intelligence innovation. We're seeking a visionary Senior AI Research Scientist to develop cutting-edge machine learning solutions that transform industries. Our dynamic team operates at the intersection of deep learning, computer vision, and natural language processing, tackling challenges in healthcare, climate science, and autonomous systems.

As a key member of our R&D division, you'll collaborate with world-class engineers and publish groundbreaking research in top-tier conferences. We offer competitive compensation, flexible work arrangements, and unparalleled access to state-of-the-art GPU infrastructure. Your work will directly impact millions of lives through AI-powered applications.

Responsibilities

  • Design and implement novel deep learning architectures for complex real-world problems
  • Lead research initiatives in transfer learning, reinforcement learning, or generative AI
  • Develop production-ready ML pipelines using TensorFlow/PyTorch and cloud platforms
  • Publish research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and drive technical excellence through code reviews
  • Collaborate with product teams to translate research into scalable solutions
  • Stay current with emerging AI trends and evaluate new technologies

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (MS with exceptional experience)
  • 5+ years of experience developing production AI systems
  • Proficiency in Python, PyTorch/TensorFlow, and distributed computing frameworks
  • Published research at NeurIPS, ICML, CVPR, or equivalent tier conferences
  • Expertise in at least one specialization: NLP, computer vision, or multi-agent systems
  • Strong software engineering skills with experience in cloud deployment (AWS/GCP)
  • Proven track record of deploying ML models in production environments

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Distributed Computing AWS Research PhD

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