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Machine Learning Engineer - Remote

Posted 22 weeks ago
Software Development
Full Time
Worldwide

Overview

As a Machine Learning Engineer at Jaxon, you will be responsible for developing and implementing machine learning models and algorithms to create more reliable AI systems, focusing on defense applications.

In Short

  • Develop and implement machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate ML models.
  • Optimize data processing and model performance.
  • Demonstrate proficiency in Python and machine learning engineering.
  • Work on enhancing AI reliability and security.
  • Address limitations of large language models.
  • Engage in comprehensive data management.
  • Communicate effectively across teams.
  • Participate in a laid-back, innovative culture.
  • Enjoy unlimited PTO and comprehensive benefits.

Requirements

  • Experience with Python and ML ecosystem.
  • Familiarity with NLP applications.
  • Ability to build and train ML models.
  • Comfortable with cloud APIs.
  • Proven expertise in building ML applications.
  • Active security clearance is a bonus.
  • 5 years of experience preferred.
  • Bachelor's degree in Computer Science or similar is preferred.
  • Strong communication skills.
  • Ability to adapt to changing priorities.

Benefits

  • Unlimited PTO.
  • Comprehensive health, dental, and vision insurance.
  • Competitive salary packages.
  • Stock options included in compensation plans.
  • Paid time off for all federal holidays.
Jaxon logo

Jaxon

Jaxon, Inc. is a pioneering company dedicated to transforming the interaction between businesses and artificial intelligence. With a focus on enhancing the reliability and accuracy of AI applications, Jaxon has developed a cutting-edge tool called Domain-Specific AI Logic (DSAIL), aimed at significantly reducing AI hallucinations. The company is committed to making AI trustworthy, particularly in regulated industries and high-risk applications. Jaxon fosters a supportive and innovative work environment, prioritizing employee well-being and encouraging a laid-back culture that values creativity and collaboration.

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