Staff Machine Learning Scientist - Irvine, United States - Convertible

Convertible
Convertible
Verified Company
Irvine, United States

3 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter


Description

About the Role
We are seeking Staff Machine Learning Scientists who will work directly with a globally distributed team of Scientists, Researchers, and Engineers to develop and refine AI models that are not only innovative but also ethically aligned


This role involves:

  • Working with stakeholders to understand their unique challenges and requirements,
    we only work on hard problems
:


  • Designing and implementing AI systems tailored to user needs while ensuring alignment with ethical standards.
  • Developing robust AI models capable of operating effectively in diverse and dynamic environments.
  • Conducting thorough testing and validation to ensure models perform as intended under various scenarios.
  • Leveraging AI to enhance system interpretability makes it easier for clients to understand and trust the AI's decisionmaking processes.
  • Collaborating with clients to iteratively refine AI solutions, ensuring ongoing alignment with evolving goals and values.
  • Providing technical guidance and support to clients, helping them integrate and manage AI systems effectively.

You might thrive in this role if you:

  • Have a solid foundation in machine learning and experience in deploying AI solutions.
  • Are adept at working closely with others to translate complex requirements into actionable AI implementations.
  • Possess strong problemsolving skills and the ability to adapt solutions to new challenges.
  • Enjoy a collaborative environment where you can share expertise and learn from others.
  • Have experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and are skilled in programming languages used in AI development (e.g., Python).
  • Are motivated by the challenge of ensuring that powerful AI systems remain under human oversight and control.
This forward-deployed role requires 1-3 days in an office.

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