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# Senior Applied AI/ML Developer

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $123,000.0 - $180,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Deep Learning, Pandas, Information Technology, Natural Language Understanding
- **Published:** September 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pjrbsz6b3g

## About the Role

* Master's or PhD in Computer Science, Statistics, Mathematics, or a related field
 * 3+ years of experience in Machine Learning
 * Hands-on experience with Natural Language Understanding (NLU)
 * Proficiency in the Python ML stack, including Pandas and deep learning frameworks
 * Knowledge of experimental design and results analysis
 * Experience leading Machine Learning teams in production
 * Ability to collaborate in cross-functional teams for ML solutions deployment, * Emphasis on continuous learning and personal development
 * Supportive and collaborative team culture
 * Opportunities for technical leadership
 * Agile work environment emphasizing hands-on problem solving
 * Involvement in cutting-edge technologies and methodologies

## Description

This role will focus on designing and implementing applied machine learning solutions that support advanced retrieval and generative AI capabilities. You will partner with stakeholders and cross-functional teams to translate business needs into practical ML approaches that improve solution performance and delivery. The position also offers the opportunity to mentor team members, shape technical direction, and contribute to innovation in a hands-on, collaborative environment., * Design and implement machine learning solutions for retrieval-augmented generation platforms

 * Conduct data analysis to create datasets for ML model training
 * Work collaboratively to enhance solutions and stay on the technology edge
 * Mentor less-experienced team members on key ML features
 * Engage with stakeholders to address critical business needs
 * Translate business objectives into solvable ML challenges


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