Top Machine Learning Engineer Jobs in Charlotte, NC

Build and apply statistical and machine learning models to inform business decisions, translate ambiguous problems into data solutions, operationalize models and pipelines, partner with cross-functional stakeholders, and mentor peers to drive adoption and measurable outcomes.

Lead the design and implementation of machine learning solutions for AdTech, optimizing campaigns and ensuring system performance in a low-latency environment.

Lead development and validation of statistical and machine learning models to challenge production models, analyze large numeric and text datasets, partner with cross-functional credit risk teams, translate technical results into business outcomes, and innovate tools and methods to improve credit decisioning and model reliability.

Lead vision and execution for on-cart recommendations and personalization, maturing ML-driven ranking and LLM techniques, capturing real-time in-session signals, running experiments, partnering with engineering, data science, design, ads, and operations to deliver engaging, monetizable shopping experiences.

Own product vision and roadmap for Instacart's Risk Platform, spanning fraud detection, identity verification, and appeasements. Drive ML/AI-first real-time decisioning, measure impact on fraud losses and cost per order, and partner cross-functionally with Data Science, Engineering, Ops, Legal, and Finance to build scalable policies and systems that balance prevention with customer experience.

The AML Analytics Senior Specialist focuses on model development, optimization, validation, and reporting in AML analytics, ensuring compliance and effective financial crime prevention.

Design and implement ML systems for improving ads targeting products, collaborating across teams and driving end-to-end execution of ML-based targeting solutions.

Responsible for creating predictive models to automate processes and improve efficiency. Requires analytical skills and experience in data modeling.

The Predictive Modeler role involves building, deploying, and maintaining predictive models to enhance automation processes.

The role involves applying advanced analytics, building predictive models, and leveraging machine learning techniques to improve trading strategies and increase efficiency.