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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

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

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to pioneer next-generation artificial intelligence solutions that will redefine industries by 2026. Work in our state-of-the-art facility with industry-leading experts to develop breakthrough models in natural language processing, autonomous systems, and ethical AI governance.

What You'll Achieve: Lead cutting-edge research projects, publish in top-tier journals, and shape the future of AI deployment in critical sectors including healthcare, climate science, and cybersecurity. Collaborate with Fortune 500 partners to translate theoretical innovations into real-world applications.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead cross-functional research teams in developing ethical AI frameworks
  • Translate complex research into commercial-grade AI solutions
  • Author patents and publish in venues like NeurIPS/ICML
  • Advise C-suite on emerging AI trends and strategic implementation
  • Develop scalable ML pipelines for terabyte-scale datasets
  • Drive innovation in explainable AI and bias mitigation techniques

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of research experience in AI/ML with publications at top conferences
  • Expertise in transformer architectures, reinforcement learning, or generative models
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in ethics, fairness, and responsible AI development
  • Experience leading research teams with proven publication track record
  • Ability to communicate complex concepts to technical and non-technical stakeholders

Required Skills

Deep Learning Transformers NLP Reinforcement Learning PyTorch Ethics in AI Distributed Computing Research Leadership

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