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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NexusAI
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join NexusAI at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI Research Scientist to develop groundbreaking algorithms that will shape the future of artificial intelligence. You'll collaborate with world-class teams in a dynamic environment where your work directly impacts industries from healthcare to autonomous systems.

Our San Francisco hub offers unparalleled resources, including state-of-the-art GPU clusters and partnerships with leading academic institutions. We provide comprehensive benefits including equity, wellness stipends, and flexible work arrangements to support your professional growth and personal well-being.

Responsibilities

  • Design and implement novel machine learning models for complex real-world problems
  • Lead research initiatives in natural language processing and computer vision
  • Publish findings in top-tier conferences and journals
  • Collaborate with engineering teams to translate research into production systems
  • Mentor junior researchers and foster a culture of innovation
  • Identify emerging AI trends and opportunities for commercial application
  • Secure external funding through grants and partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 3+ years of research experience in AI/ML with peer-reviewed publications
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing
  • Strong mathematical background in linear algebra, calculus, and probability
  • Proven track record of solving complex technical challenges
  • Excellent communication and presentation skills
  • Experience with cloud platforms (AWS/GCP/Azure) preferred

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Natural Language Processing Computer Vision Research Distributed Computing

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