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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionary

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future of AI-driven solutions. We're seeking an exceptional AI Research Scientist to pioneer breakthroughs in generative AI and machine learning systems that will redefine industries by 2026. This role offers unparalleled opportunities to work with cutting-edge infrastructure and collaborate with world-class researchers in our state-of-the-art San Francisco headquarters.

We offer comprehensive benefits including equity participation, flexible work arrangements, and a dedicated innovation budget. Our culture values intellectual curiosity, rapid prototyping, and bold thinking. If you're passionate about creating transformative AI systems that will power the next decade of human progress, we want to meet you.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI systems
  • Lead research initiatives in generative AI, multimodal learning, and autonomous systems
  • Collaborate with engineering teams to translate research prototypes into scalable production solutions
  • Publish findings in top-tier conferences and contribute to open-source AI frameworks
  • Develop ethical AI frameworks aligned with 2026 regulatory and societal standards
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven track record of publishing in NeurIPS, ICML, or equivalent AI conferences
  • Expertise in PyTorch/TensorFlow and large-scale distributed training systems
  • Deep understanding of transformer architectures and LLM optimization techniques
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience with MLOps pipelines and productionizing ML models at scale

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch TensorFlow Generative AI LLMs Ethics MLOps

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