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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer breakthrough AI solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment for pushing the boundaries of artificial intelligence.

As part of our elite research team, you'll work on transformative projects in natural language processing, autonomous systems, and quantum-enhanced AI. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in partnership with leading academic institutions.

Responsibilities

  • Design and implement novel deep learning architectures for complex problem-solving
  • Lead research initiatives in generative AI and multimodal learning systems
  • Develop scalable AI solutions with real-world industrial applications
  • Collaborate with engineering teams to translate research prototypes into production-ready systems
  • Publish findings in top-tier conferences and journals (NeurIPS, ICML, etc.)
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of research experience
  • Proven expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong publication record in AI/ML conferences (NeurIPS, ICML, CVPR)
  • Proficiency in Python, C++, and high-performance computing environments
  • Experience with large-scale datasets and cloud platforms (AWS/GCP)
  • Deep understanding of transformer architectures and reinforcement learning

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow Natural Language Processing Reinforcement Learning Quantum Computing

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