Explainable AI Engineer — Mission-Critical, Remote

Brain Gain Recruiting

Palo Alto (CA)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

Brain Gain Recruiting is seeking an Explainable AI Engineer to develop and integrate AI Engines and workflows. This role offers an opportunity to learn from leading professors and work across algorithms to evolve Explainable AI systems.

Ideal candidates should have experience in building mission-critical applications and strong skills in statistical methods. This is a remote position with potential benefits for candidates near the Palo Alto, CA or Atlanta, GA offices.

Qualifications

  • Experience with productized analytical applications.
  • Experience building mission-critical applications.
  • Hands-on skills in mathematical methods including Statistics and Bayesian estimation.
  • Experience with MATLAB, Java, and GitHub.
  • Solid experience writing technical documentation.
  • Strong collaboration and communication skills.

Responsibilities

  • Understand, develop, & support deep math analytics in Explainable AI Engines.
  • Build, evolve, verify, and validate data processing pipeline segments.
  • Support scalable deployment of the AI.
  • Integrate Explainable AI with LLM tools.
  • Collaborate with the cloud software team and with customers.
  • Document Explainable AI for users and developers.

Skills

Productized analytical applications
Mission-critical applications
Statistics
Bayesian estimation
Mathematical optimization
Decision and Control
MATLAB
Java
GitHub
Technical documentation
Collaboration and communication

Education

Bachelor’s Degree in Engineering or related field

Tools

MATLAB
GitHub

Job description

Brain Gain Recruiting is seeking an Explainable AI Engineer to develop and integrate AI Engines and workflows. This role offers an opportunity to learn from leading professors and work across algorithms to evolve Explainable AI systems.

Ideal candidates should have experience in building mission-critical applications and strong skills in statistical methods. This is a remote position with potential benefits for candidates near the Palo Alto, CA or Atlanta, GA offices.

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