Remote AI/ML Engineer — Secure, Mission-Driven Impact

Ladders; United States; Remote; USD 126,000 - 211,000; Full time

Benefits offered by this job

Remote work focus on mission-driven项目

Apply advanced AI/ML technologies in [

Job summary

Ladders is seeking an AI/ML Engineer with a security-focused mindset to join a remote US-based team. You will design, deploy, and optimize machine learning models and generative AI solutions for mission-driven applications, ensuring secure, scalable production-grade systems.

You will collaborate across teams to shape data pipelines, implement robust model serving architectures, and advance predictive capabilities while adhering to stringent security requirements.

Qualifications

• Active Secret security clearance with the ability to obtain a Top Secret clearance.
• Bachelor's degree in computer science, AI, or data science.
• 5+ years deploying machine learning models or AI software in production.
• Advanced proficiency in Python; experience with PyTorch or TensorFlow.
• Experience building secure data pipelines and cross-platform data integration.

Responsibilities

• Design, implement, test, and optimize ML algorithms for various applications.
• Develop and refine predictive models under stringent requirements.
• Create NLP and generative AI solutions for specific use cases.
• Engineer reusable services for web apps.
• Design architectures for scalable model serving and support.
• Integrate predictive models while ensuring reliability.
• Collaborate with cross-functional teams to define data structures and pipelines.

Skills

Python

ML Engineering

Secure ML practices

Cross-functional collaboration

Education

Bachelor's degree in CS/AI/Data Science

Tools

PyTorch

TensorFlow

SQL

Job description

Ladders is seeking an AI/ML Engineer with a security-focused mindset to join a remote US-based team. You will design, deploy, and optimize machine learning models and generative AI solutions for mission-driven applications, ensuring secure, scalable production-grade systems.

You will collaborate across teams to shape data pipelines, implement robust model serving architectures, and advance predictive capabilities while adhering to stringent security requirements.