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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Innovate Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Innovate Labs at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-machine interaction. You'll collaborate with elite researchers in our state-of-the-art Silicon Valley facility, tackling complex challenges in natural language processing, computer vision, and generative AI. This role offers unparalleled opportunities to publish groundbreaking research, shape industry standards, and transform theoretical concepts into real-world applications that impact millions.

Responsibilities

  • Design and implement cutting-edge deep learning architectures for next-gen AI systems
  • Lead research initiatives in multi-modal AI and human-centered machine learning
  • Develop scalable solutions for real-time data processing and autonomous decision-making
  • Collaborate with product teams to translate research into production-ready systems
  • Publish peer-reviewed papers and present findings at top-tier conferences
  • Mentor junior researchers and foster a culture of innovation and ethical AI development

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of experience in advanced AI research and implementation
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of publishing in NeurIPS/ICML/ICLR or similar venues
  • Strong background in NLP, computer vision, and generative modeling
  • Experience with MLOps and deploying research models at scale
  • Demonstrated ability to translate complex research into practical applications

Required Skills

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

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