Applied AI Engineer

Luminai

• $135K — $160K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proven track record of shipping high-quality code on complex projects.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.
  • Solid foundations in algorithms, data structures, and system design.
  • Strong attention to detail and first-principles thinking in deploying intelligent systems.
  • Experience shipping machine learning models to production.

Responsibilities

  • Design experiments and test ideas for optimizing internal AI benchmarks.
  • Develop and improve evaluation frameworks to enhance experimentation speed and direction.
  • Train, fine-tune, and optimize machine learning models, ensuring accuracy and performance through rigorous testing.
  • Collaborate on core product development to enhance platform capabilities.
  • Establish observability and monitoring systems to ensure model safety in critical applications.

Benefits

  • Opportunity to work on cutting-edge AI automation technologies.
  • Access to mentorship from leaders in the startup and tech community.
  • Collaborative environment that encourages innovation and technical growth.
Full Job Description
About the role

As a Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You are expected to have a strong proficiency in fundamentals of software engineering, a willingness to pick new concepts as needed and an ability to drive technical projects in ambitious environments.

What You'll Do
  • Design experiments and test ideas to optimize key internal AI benchmarks
  • Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
  • Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
  • Collaborate and contribute on the core product development to deliver higher platform capabilities
  • Set up observability and monitoring systems to safety check model behavior in critical settings


What We're Looking For
  • Proven track record of shipping high-quality code in challenging projects
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
  • Solid fundamentals in algorithms, data structures, system design
  • Attention to detail and a first-principles thinking towards real world deployment of intelligent systems.
  • Experience shipping ML models to production

Bonus
  • Previous experience working with distributed computing systems in production

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