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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join 2026 Innovations at the forefront of artificial intelligence revolution. We're seeking visionary AI Research Scientists to develop groundbreaking solutions that will shape the technological landscape of tomorrow. Collaborate with world-class engineers and researchers in our state-of-the-art San Francisco lab, where innovation meets impact. Your work will directly influence next-generation AI systems that redefine human-computer interaction.

We offer competitive compensation, unlimited learning opportunities, and a culture that celebrates intellectual curiosity and bold thinking. Help us build the future—one algorithm at a time.

Responsibilities

  • Design and implement cutting-edge machine learning models for natural language processing and computer vision
  • Lead research initiatives to advance ethical AI frameworks and bias mitigation techniques
  • Collaborate with product teams to translate research prototypes into scalable production systems
  • Publish findings in top-tier conferences and contribute to open-source AI communities
  • Mentor junior researchers and foster cross-functional innovation
  • Develop patent-pending algorithms for real-time AI decision-making systems
  • Stay abreast of emerging AI trends and their societal implications

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research experience in deep learning and neural networks
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong understanding of AI ethics, fairness, and responsible AI development
  • Experience with large-scale model training and optimization techniques
  • Excellent communication skills with ability to articulate complex concepts
  • Portfolio of open-source contributions or commercial AI deployments

Required Skills

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

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