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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of innovation as we pioneer breakthrough technologies for 2026 and beyond. We're seeking an exceptional AI Research Scientist to architect next-generation intelligent systems that will redefine human-machine interaction. In this pivotal role, you'll collaborate with world-class engineers to develop scalable machine learning frameworks, solve complex computational challenges, and translate theoretical research into transformative applications. Our state-of-the-art facility in San Francisco offers unparalleled resources and a dynamic environment where your ideas can shape the future.

Responsibilities

  • Design and implement advanced AI algorithms for autonomous systems and predictive analytics
  • Lead research initiatives in quantum computing integration and neural network optimization
  • Develop robust data pipelines for processing petabyte-scale datasets
  • Collaborate with cross-functional teams to deploy AI solutions in production environments
  • Publish peer-reviewed research and present findings at industry conferences
  • Mentor junior researchers and foster innovation through hackathons and workshops

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Proficiency in Python, C++, and cloud platforms (AWS, GCP, Azure)
  • Experience with MLOps tools and CI/CD for ML pipelines
  • Demonstrated ability to translate research into scalable commercial products
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing MLOps Research AI Ethics

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