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Senior AI Research Scientist - San Francisco, CA

Chronos Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of the Future


Chronos Innovations is pioneering the technological landscape for the year 2026. We are seeking a visionary Senior AI Research Scientist to lead our cutting-edge deep learning initiatives. If you are passionate about building scalable, ethical, and revolutionary artificial intelligence systems, we want to meet you.


As a key member of our elite R&D team, you will define the roadmap for our flagship products, pushing the boundaries of what is possible in machine learning and predictive analytics.


Why Join Us?

  • Work with state-of-the-art hardware and proprietary datasets.
  • Competitive equity package and benefits.
  • Flexible remote-first culture with HQ in San Francisco.
  • Opportunity to publish in top-tier conferences.

Responsibilities

  • Lead the research and development of next-generation neural network architectures.
  • Design and implement scalable machine learning pipelines for real-time data processing.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate research into market-ready features.
  • Mentor junior data scientists and researchers, fostering a culture of innovation and continuous learning.
  • Stay at the forefront of industry trends, evaluating and integrating emerging technologies.
  • Optimize existing models for speed, accuracy, and energy efficiency.
  • Conduct rigorous testing and validation to ensure model robustness and bias mitigation.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Mathematics, or a related field.
  • 7+ years of professional experience in AI/ML, with a focus on Deep Learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Natural Language Processing (NLP) or Computer Vision (CV).
  • Proven track record of publishing in top-tier academic conferences or holding patents.
  • Experience with cloud platforms (AWS, GCP) and big data technologies (Spark, Kafka).
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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