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 in challenging projects.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field.
  • Solid fundamentals in algorithms, data structures, and system design.
  • Attention to detail and first-principles thinking in real world deployment of intelligent systems.
  • Experience shipping ML models to production.

Responsibilities

  • Design experiments and test ideas to optimize key internal AI benchmarks.
  • Improve evaluation frameworks to accelerate experimentation speed and direction.
  • Train, fine-tune, and optimize machine learning models with rigorous testing.
  • Collaborate on core product development for enhanced platform capabilities.
  • Set up observability and monitoring systems to ensure model behavior safety.

Benefits

  • Work in a rapidly growing field focused on AI automation in healthcare.
  • Be part of a culture that prioritizes innovation and continuous improvement.
  • Access to significant capital support from top-tier Silicon Valley investors.
  • Opportunity to contribute to mission-critical projects with real-world impact.
  • Collaborative environment with talented team members from prestigious backgrounds.
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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