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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation as we pioneer breakthrough technologies for 2026 and beyond. We seek visionary AI Research Scientists to develop next-generation machine learning models and ethical frameworks that will define the future of human-AI collaboration. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your research will directly impact global industries.

Why Nexus Labs? • Revolutionary projects with real-world applications • Cutting-edge computational infrastructure • Publication and patent opportunities • Comprehensive benefits including equity and relocation assistance

Responsibilities

  • Design and implement novel deep learning architectures for complex problem domains
  • Lead cross-functional teams to translate research prototypes into scalable solutions
  • Develop ethical AI frameworks ensuring fairness, transparency, and accountability
  • Publish findings in top-tier journals and present at global conferences
  • Collaborate with industry partners to align research with market needs
  • Mentor junior researchers and foster an inclusive innovation culture

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years post-grad experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent
  • Expertise in transformer architectures, reinforcement learning, or multimodal systems
  • Strong programming skills in Python, PyTorch/TensorFlow, and distributed computing
  • Experience with MLOps and deploying production ML systems
  • Demonstrated ability to secure research grants or industry partnerships
  • Passion for ethical AI and responsible innovation principles

Required Skills

Machine Learning Deep Learning AI Ethics PyTorch TensorFlow Reinforcement Learning NLP Computer Vision

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