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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
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to architect next-generation machine learning systems that will redefine industries. In this role, you'll collaborate with world-class engineers to develop scalable AI frameworks, drive breakthrough innovations, and translate complex research into commercial applications.

Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and growth. You'll work on cutting-edge projects including autonomous decisioning systems, ethical AI governance, and human-machine collaboration interfaces. We offer competitive equity packages, flexible work arrangements, and a culture that values intellectual curiosity.

Responsibilities

  • Design and implement novel AI algorithms for predictive analytics and autonomous systems
  • Lead cross-functional research initiatives in natural language processing and computer vision
  • Develop scalable ML pipelines capable of processing petabyte-scale datasets
  • Collaborate with product teams to translate research into production-ready solutions
  • Author peer-reviewed publications and contribute to open-source AI frameworks
  • Mentor junior researchers and foster an environment of scientific excellence
  • Stay current with emerging AI trends and regulatory developments

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research experience in AI/ML systems
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Strong publication record at top-tier conferences (NeurIPS, ICML, CVPR)
  • Proven ability to translate theoretical concepts into practical implementations
  • Experience with ethical AI frameworks and responsible development practices
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning NLP Computer Vision PyTorch TensorFlow Distributed Computing AI Ethics Research Methodology

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