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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of artificial intelligence development. We're pioneering breakthrough AI systems that will redefine industries by 2026. As an AI Research Scientist, you'll collaborate with world-class engineers to design, implement, and optimize next-generation machine learning models. Our state-of-the-art lab in San Francisco offers unparalleled resources for transforming theoretical concepts into scalable solutions.

We value creativity, technical excellence, and a passion for pushing boundaries. This role offers competitive compensation, comprehensive benefits, and the opportunity to shape the future of AI innovation.

Responsibilities

  • Lead research and development of advanced AI algorithms for natural language processing and computer vision
  • Design scalable machine learning pipelines capable of processing petabytes of data
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise products
  • Publish cutting-edge research in top-tier AI conferences and journals
  • Mentor junior researchers and foster a culture of innovation
  • Stay current with emerging AI technologies and ethical frameworks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (TensorFlow/PyTorch)
  • Expertise in transformer architectures and large language models
  • Strong publication record in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Proficiency in Python, distributed computing (Spark/Dask), and cloud platforms (AWS/GCP)
  • Demonstrated ability to translate research into production-ready solutions
  • Experience with MLOps and model deployment at scale

Required Skills

Machine Learning Deep Learning NLP Computer Vision TensorFlow PyTorch Python AWS Research AI Ethics

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