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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations at the forefront of artificial intelligence revolution. We're seeking visionary AI Research Scientists to shape the future of machine learning and develop transformative solutions for global challenges. Our multidisciplinary team collaborates with Fortune 500 partners to deploy cutting-edge AI systems that impact billions of lives.

Located in our state-of-the-art San Francisco innovation hub, you'll work with world-class researchers and engineers to pioneer breakthroughs in neural networks, quantum computing, and ethical AI. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements to empower your genius.

Responsibilities

  • Design and implement novel machine learning algorithms for natural language processing and computer vision systems
  • Lead research initiatives in quantum machine learning and explainable AI frameworks
  • Collaborate with product teams to translate research into production-ready AI solutions
  • Publish findings in top-tier conferences (NeurIPS, ICML, CVPR) and secure research grants
  • Mentor junior researchers and establish best practices for ethical AI development
  • Develop scalable infrastructure supporting distributed AI training at petabyte scale

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Published research in top-tier AI/ML conferences or journals
  • Strong programming skills in Python, C++, and cloud technologies (AWS/GCP)
  • Experience with MLOps tools and productionizing ML models at scale
  • Demonstrated ability to lead cross-functional technical projects
  • Passion for ethical AI development and responsible innovation

Required Skills

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

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