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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of artificial intelligence innovation. We're pioneering next-generation AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with world-class experts to develop groundbreaking algorithms and scalable machine learning solutions. Our cutting-edge lab offers unparalleled resources to transform theoretical concepts into real-world applications.

We offer a dynamic environment where your contributions directly impact the future of AI. Enjoy competitive compensation, flexible work arrangements, and continuous learning opportunities. If you're passionate about pushing the boundaries of artificial intelligence, we want you on our team.

Responsibilities

  • Design and implement advanced machine learning models for complex problem domains
  • Lead research initiatives in natural language processing and computer vision
  • Develop scalable AI architectures for enterprise applications
  • Collaborate with engineering teams to prototype and deploy research solutions
  • Publish findings in top-tier academic conferences and journals
  • Mentor junior researchers and foster an innovative culture
  • Stay current with emerging AI technologies and ethical frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of experience in applied AI research
  • Expertise in Python, TensorFlow, PyTorch, and distributed computing
  • Strong publication record in AI/ML conferences (NeurIPS, ICML, etc.)
  • Proven ability to translate research into production systems
  • Deep understanding of neural network architectures and optimization
  • Experience with large-scale dataset processing and MLOps
  • Excellent communication and cross-functional collaboration skills

Required Skills

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

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