Engineering Manager, Applied AI & Machine Learning Engineering

Senior Machine Learning Engineering Manager

Lead and grow a team of machine learning engineers while fostering a collaborative and high-performing environment. Manage a portfolio of experimental workstreams to improve fraud and risk decision models while partnering with stakeholders to deliver clear business outcomes.

Senior Backend Engineer: Machine Learning Infrastructure

Design, build, and operate high-load distributed backend services that power the company's machine learning infrastructure. Partner with ML and product teams to turn their needs into reliable, reusable platform capabilities.

Sr Machine Learning Engineering Manager - AI Quality and Governance

Lead a multidisciplinary team to establish quality standards, evaluation frameworks, and governance for AI products at scale. Partner with cross-functional teams to ensure AI systems are reliable, measurable, and compliant with enterprise standards.

Machine Learning Engineering Manager, Personalization

Lead and develop a team of machine learning, backend, and data engineers while setting technical direction for personalization features. Partner with product and data science teams to deliver scalable machine learning systems and innovative generative AI capabilities.

Senior Manager, Machine Learning Engineering - Communication & Connectivity

Lead and mentor a senior team of managers and engineers to drive AI investment priorities and technical roadmaps. Partner with cross-functional leadership to take high-impact ML initiatives from concept to production and define success metrics.

Senior Manager, Machine Learning Engineering - Ad Platform

Lead and develop a team of machine learning engineers to build and scale capabilities for the Ad Platform. Translate business strategy into technical roadmaps to improve advertiser outcomes and marketplace performance.

Machine Learning Engineering Manager - Fraud Detection

Lead and grow a team of engineers to build risk management features that improve the merchant experience and act as a product differentiator. Collaborate cross-functionally with product, infrastructure, and risk strategy teams to deliver high-quality technical systems and APIs.

Machine Learning Engineering Manager

Oversee data scientists and ML engineers to ensure the development of safe, compliant, and fair AI products. Lead the technical direction of the Responsible AI team and collaborate with cross-functional partners to move projects from proof-of-concept to production.

Senior Machine Learning Engineer: ML Recall

Build and deploy robust ML systems for search, including text, image, and multimodal approaches to improve relevancy and business KPIs. Tune LLMs and collaborate with technical teams to integrate models into production pipelines.

Manager, Machine Learning Engineering (Repayment & Recovery)

Manage a team of ML engineers to build models for the post-origination credit lifecycle, focusing on repayment behavior and loss minimization. Partner with product and risk leaders to design and scale advanced ML solutions while mentoring engineering talent.

Senior Machine Learning Engineer: Search Quality

Focus on improving e-commerce search relevance through LLM-based evaluation and real-time quality improvements. Develop automated monitoring pipelines and agentic systems to detect degradations and provide actionable product recommendations.

Machine Learning Engineering Manager - Ads Engagement Modeling

Define and execute the technical roadmap for engagement modeling to drive user interactions with ads and content. Lead, recruit, and mentor a high-performing team of ML engineers while collaborating with cross-functional partners.

Manager, Machine Learning Engineering

Lead a team of machine learning engineers to design and deploy high-impact fraud detection models across the full ML lifecycle. Define technical strategy and collaborate cross-functionally to integrate models into decisioning systems while driving the adoption of advanced modeling techniques.

Manager, Machine Learning Engineering

You will lead a team of machine learning engineers to design and deploy high-impact fraud detection models across the full ML lifecycle. Additionally, you will define the technical strategy and partner cross-functionally to integrate these models into decisioning systems.

Ads Conversion Modeling, Machine Learning Engineering Manager

The Engineering Manager will define the team's vision and execute a technical roadmap for conversion modeling while leading a high-performing team of machine learning engineers. They will oversee the model development lifecycle from ideation to deployment and collaborate with cross-functional partners to align on engagement strategies and KPIs.

Engineering Manager, Machine Learning

The Engineering Manager will lead the Machine Learning Engineering team, overseeing product lines and driving business value through technical innovation. They are responsible for coaching engineers, maintaining code quality, and partnering with product managers to execute the product roadmap.

Engineering Manager - Machine Learning

Lead a team in building and optimizing the machine learning infrastructure that powers a drug discovery platform. You will collaborate cross-functionally to enable the scaling of AI/ML, LLM, and agentic systems across supercomputing and cloud environments.

Senior Machine Learning Systems Engineering Manager - AI & ML Platform

Lead the AI & ML Platform team to build and run infrastructure that supports generative LLMs, model serving, and data training. Focus on coaching engineers, driving technical standards, and collaborating with stakeholders to influence the platform's strategic direction.

Engineering Manager, Machine Learning

Lead and manage cross-functional teams of machine learning engineers and data scientists to deliver ML-driven product capabilities. Accountable for technical direction, talent growth, and strategic partnership with product managers to balance short- and long-term goals.

Lead Director - Artificial Intelligence, Machine Learning and Data Engineering

Lead the strategy and delivery of enterprise AI platform capabilities and reusable data products to enable scalable AI/ML adoption. Oversee high-performing engineering teams to establish operational standards for agentic systems and data modernization.