Demo

Artificial Intelligence Engineer

Startup in Stealth Mode
Sunnyvale, CA Full Time
POSTED ON 2/26/2025
AVAILABLE BEFORE 5/23/2025

We are a newly founded, well-funded AI startup poised to revolutionize the safety industry. We are a team of passionate individuals driven by the belief that AI can create a safer world. Having just closed a significant seed round, we are rapidly expanding our team and seeking talented and driven AI Engineers to join us on this exciting journey. If you are passionate about building cutting-edge AI solutions with real-world impact, we want to hear from you!

About the Role :

As an AI Engineer, you will play a critical role in developing and deploying innovative AI models that address key challenges in the safety space. You will work closely with a team of researchers and engineers to design, implement, and evaluate algorithms that will have a tangible positive impact on people's lives. This is a unique opportunity to join a fast-growing startup at its earliest stages and contribute significantly to the direction of our technology.

Responsibilities :

  • Design, develop, and implement machine learning models for a variety of safety-related applications.
  • Collaborate with researchers to translate cutting-edge research into production-ready code.
  • Develop and maintain robust and scalable AI pipelines.
  • Evaluate and optimize model performance, ensuring accuracy and efficiency.
  • Work with large datasets, including data cleaning, preprocessing, and feature engineering.
  • Contribute to the development of our core AI platform.
  • Stay up-to-date with the latest advancements in AI and machine learning.
  • Participate in code reviews and contribute to best practices.
  • Contribute to the overall technical vision and strategy of the company.

Qualifications :

  • Strong understanding of machine learning principles and techniques.
  • Proficiency in programming languages such as Python.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
  • Experience with MLOps tools and practices is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Passion for building impactful AI solutions.
  • Experience in the safety domain is a plus, but not required.
  • M.S. or Ph.D. in Computer Science, Machine Learning, or a related field preferred. Exceptional candidates with a B.S. and relevant experience will also be considered.
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