AI / ML Engineer

About the Role

PPLIED is a hands-free hiring platform that streamlines the job market for both recruiters and job seekers. Recruiters post a role once and receive a daily shortlist of top-matched candidates automatically, with no job boards, searching, or fees. Job seekers upload a resume once, and PPLIED continuously matches and applies to real roles on their behalf, eliminating manual applications and cover letters. When there is mutual interest, recruiters and candidates connect directly through the platform. PPLIED offers a simple, free solution that addresses hiring and job searching in one integrated experience.

Responsibilities

• Design, build, and optimize machine learning models that power PPLIED's matching, recommendation, and automation capabilities
• Develop and evaluate algorithms for pattern recognition in candidate and job data
• Implement neural network architectures and improve model accuracy and efficiency using statistical methods
• Experiment with new approaches and collaborate with product and engineering teams to integrate models into production systems
• Monitor model performance and ensure scalable, reliable deployment
• Maintain clean, well-documented code and contribute to data pipelines
• Stay current with advances in AI and machine learning relevant to hiring technology

Qualifications

• Strong foundation in Computer Science and Algorithms, with experience designing and implementing efficient, scalable solutions
• Applied expertise in Pattern Recognition and Statistics for building, evaluating, and improving data-driven models
• Hands-on experience with Neural Networks, including training, tuning, and deploying models for real-world applications
• Proficiency in one or more programming languages commonly used in ML (e.g., Python), and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Experience working with data pipelines, feature engineering, and model evaluation metrics in production environments
• Ability to work independently in a remote setting, collaborate effectively across teams, and communicate complex technical concepts clearly
• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience

Preferred Qualifications

• Background in recommender systems, search, or matching algorithms
• Prior experience in HR tech or marketplace platforms