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AI Research Scientist (2026 Initiative)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking a visionary AI Research Scientist to lead breakthrough projects in our 2026 Initiative—a groundbreaking program focused on developing next-generation autonomous systems and ethical AI frameworks. Collaborate with world-class researchers in our state-of-the-art San Francisco lab to transform theoretical concepts into scalable solutions that will redefine human-machine interaction.

Our culture combines academic rigor with entrepreneurial agility. You'll have access to unlimited compute resources, dedicated R&D budgets, and cross-functional partnerships with Fortune 500 clients. This is your chance to shape the future of AI while solving humanity's most complex challenges.

Responsibilities

  • Design and implement novel machine learning architectures for autonomous decision-making systems
  • Lead multidisciplinary research teams in developing ethical AI governance frameworks
  • Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and industry journals
  • Translate theoretical research into production-ready solutions with 99.9% reliability
  • Collaborate with engineering teams to prototype and validate AI models at scale
  • Secure $5M+ in federal/state grants for cutting-edge AI research initiatives

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Published record of peer-reviewed research in AI/ML (minimum 3 top-tier conference papers)
  • Expertise in reinforcement learning, generative adversarial networks, or federated learning
  • Proven ability to lead complex research projects with measurable business impact
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience securing government or corporate research funding

Required Skills

Machine Learning Deep Learning Reinforcement Learning AI Ethics Research Leadership TensorFlow PyTorch Generative AI Autonomous Systems

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