Applied AI Engineer

Luminai

New York (NY)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Luminai is seeking a Software Engineer to advance AI systems research and develop an automation platform used globally for scalable, reliable AI deployments.

You will design experiments, optimize AI benchmarks and contribute to production ML workflows, with a strong emphasis on evaluation, observability and safe model behavior in critical environments.

Qualifications

  • Strong proficiency in fundamentals of software engineering and willingness to pick up new concepts as needed.
  • Solid fundamentals in algorithms, data structures and system design.
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning or related field.
  • Proven track record of shipping high-quality code in challenging projects.
  • Attention to detail and first-principles thinking for real-world deployment of intelligent systems.
  • Experience with distributed computing systems in production.
  • Experience shipping ML models to production.

Responsibilities

  • Play a foundational role in research, experimentation and rapid improvement of AI systems towards a capable, reliable AI automation platform.
  • Work on a platform used by organizations worldwide to deploy and scale executable AI automations in production environments.
  • Design experiments and test ideas to optimize key internal AI benchmarks.
  • Design and improve evaluation frameworks to accelerate experimentation pace and direction.
  • Train, fine-tune, and optimize ML models, with rigorous evaluation for accuracy and performance.
  • Collaborate on core product development to deliver higher platform capabilities.
  • Set up observability and monitoring systems to safety check model behavior in critical settings.

Skills

Software engineering fundamentals
Algorithms & design fundamentals
Shipping high-quality code
Attention to detail
Distributed systems
ML production experience
Technical project leadership

Education

Bachelor’s or Master’s in CS/ML

Job description

Responsibilities
  • 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
  • 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
  • Setup up observability and monitoring systems to safety check model behaviour in critical settings
Qualifications
  • Strong proficiency in fundamentals of software engineering, willingness to pick new concepts as needed and an ability to drive technical projects in ambitious environments
  • Solid fundamentals in algorithms, data structures, system design
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field
  • Proven track record of shipping high-quality code in challenging projects
  • Attention to detail and first-principles thinking towards real world deployment of intelligent systems
  • Previous experience working with distributed computing systems in production
  • Experience shipping ML models to production
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