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Senior AI Research Scientist 2026

OmniCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of technology? OmniCore Systems is seeking a visionary Senior AI Research Scientist to join our elite engineering team. We are pioneering solutions that will define the technological landscape in 2026 and beyond.

In this pivotal role, you will lead the development of next-generation Generative AI and Predictive Analytics models. You will work at the intersection of research and production, ensuring our algorithms are not only cutting-edge but also scalable, ethical, and impactful. If you have a passion for solving complex problems and a drive to push the boundaries of artificial intelligence, we want to hear from you.

Responsibilities

  • Lead the end-to-end research, development, and deployment of advanced machine learning models.
  • Design and optimize deep learning architectures for high-scale data processing and inference.
  • Collaborate closely with product managers and engineers to translate research findings into robust production software.
  • Stay at the forefront of the AI industry, continuously exploring new methodologies and frameworks.
  • Mentor junior data scientists and researchers, fostering a culture of innovation and technical excellence.
  • Ensure all models adhere to strict ethical guidelines and data privacy standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering or applied research.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven experience deploying machine learning models in cloud environments (AWS, GCP, or Azure).
  • Strong problem-solving skills with a focus on scalability and performance optimization.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Data Science

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