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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - Future Tech Innovations

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI Research Scientist to develop cutting-edge machine learning models that will redefine industries. In this role, you'll collaborate with world-class engineers and data scientists to create scalable AI systems, publish breakthrough research, and translate theoretical concepts into real-world applications. Our dynamic startup culture offers unparalleled opportunities to shape the future of artificial intelligence while enjoying competitive compensation and comprehensive benefits.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in neural networks, reinforcement learning, and generative AI
  • Collaborate with cross-functional teams to deploy AI solutions in production environments
  • Publish high-impact research in top-tier conferences and journals
  • Mentor junior researchers and drive innovation through technical leadership
  • Stay ahead of emerging AI trends and evaluate new technologies for adoption

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years of research experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record of peer-reviewed publications in AI/ML conferences
  • Strong background in statistical modeling and experimental design
  • Experience with large-scale dataset processing and MLOps pipelines
  • Demonstrated ability to translate complex research into practical applications

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch Python Neural Networks Reinforcement Learning Research Distributed Computing MLOps

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