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AI Research Scientist

Innovatech Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Innovatech Labs is pioneering the future of artificial intelligence, and we're seeking a visionary AI Research Scientist to join our elite team in San Francisco. As we approach 2026, the landscape of machine learning is evolving at unprecedented speed. This role offers the unique opportunity to shape next-generation AI systems that will redefine industries. You'll work in our state-of-the-art facility alongside Nobel laureates and Turing Award winners, tackling challenges in quantum computing, neural networks, and ethical AI. If you're passionate about creating technologies that will impact billions, this is your moment.

Responsibilities

  • Design and implement cutting-edge machine learning models for autonomous systems and predictive analytics
  • Lead breakthrough research in generative AI and multimodal learning architectures
  • Collaborate with quantum computing teams to develop hybrid AI-quantum algorithms
  • Publish 2+ peer-reviewed papers annually in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and drive innovation in our AI incubation lab
  • Translate theoretical research into scalable production solutions with 99.9% reliability
  • Develop ethical AI frameworks aligned with 2026 global regulatory standards

Qualifications

  • PhD in Computer Science, Machine Learning, or Quantum Computing (or equivalent experience)
  • 5+ years of industry research experience with 3+ publications in AI/ML venues
  • Expertise in PyTorch, TensorFlow, and distributed ML frameworks (Horovod, DeepSpeed)
  • Proficiency in Python, C++, and quantum programming languages (Q#, Qiskit)
  • Deep understanding of transformer architectures, reinforcement learning, and diffusion models
  • Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS/GCP)
  • Strong background in AI ethics, fairness, and explainable AI techniques
  • Ability to lead cross-functional teams and manage complex research roadmaps

Required Skills

machine learning deep learning quantum computing neural networks PyTorch TensorFlow research ethics MLOps

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