Top AI & Machine Learning Jobs

Lead design and delivery of data contracts, metadata standards, AI-readiness scoring, and governance tooling. Build pipelines for quality signals and semantic layers, integrate LLM tooling, drive cross-team alignment, and provide technical leadership for junior engineers.

Lead design, development, and deployment of production-grade, large-scale ML systems. Influence ML strategy, integrate models with platform and data infrastructure, mentor engineers, communicate results to stakeholders, and mature ML infrastructure and abstractions across teams.

Lead causal inference (A/B testing), machine learning, and analytics projects; analyze behavioral and transaction data to drive actionable insights; automate reports, diagnose data issues, and support market analyses; communicate findings to technical and non-technical stakeholders; mentor team members and drive strategic analytics initiatives.

Lead design, development, and deployment of large-scale production ML systems and platform strategy. Research and prototype ML and big-data technologies, integrate ML services across the org, mentor engineers and data scientists, and communicate complex ML solutions to technical and non-technical stakeholders.

Lead AI enablement for the product organization by building AI productivity infrastructure: skills, plugins, context libraries, templates, and environments. Drive AI adoption, configure toolchains and data access, partner with Engineering/Finance, train PMs, track usage and outcomes, and measure impact on PM efficiency and business-case consistency.

Lead development of foundational measurement, forecasting, and optimization models for the revenue organization. Collaborate with stakeholders and engineers to prepare data, analyze large datasets, design experiments, build and productionize ML models, monitor performance, and mentor other data scientists while evangelizing best practices.