Top AI & Machine Learning Jobs

Leads advanced media measurement and data science for healthcare HCP and DTC campaigns. Builds statistical, attribution, incrementality, and predictive models; integrates large healthcare datasets; and connects media exposure to business outcomes. Develops Snowflake datasets, Tableau and Looker dashboards, and executive presentations. Partners cross-functionally with media, data, engineering, and account teams while mentoring analysts and translating complex analyses into actionable client narratives.

Build and operate an AI-driven global sourcing platform covering web crawling, data ingestion, normalization, entity resolution, product matching, provenance, and source monitoring. Integrate Zoho CRM and QuickBooks, apply LLMs with structured evaluation and human review, and identify automation opportunities across business departments. Lead pilots, train employees, measure impact, and scale the platform to hundreds of sources.

Build and deploy internal AI tools, LLM applications, and agentic systems from concept through production. Establish reusable engineering patterns, optimize models for cost, latency, and reliability, and create shared infrastructure. Partner with technical teams to deliver practical tools, mentor teammates, and drive autonomous end-to-end execution with strong testing, documentation, evaluation, and operational practices.

Supports data science and analytics teams by managing Jira requirements, backlogs, workflows, dashboards, model portfolios, and prioritization processes. Partners with technical teams, leadership, and stakeholders to communicate model status, risks, blockers, and priorities. The role also improves documentation and intake processes, facilitates prioritization decisions, and builds repeatable processes in a compliance-sensitive environment.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

The role involves leading the implementation of AI solutions for productivity, integrating technology with business functions, and managing complex workflows while staying updated on AI advancements relevant to media.

Build custom reports and data products from client requirements through coding and ongoing delivery. Apply quantitative analysis, data mining, and research to generate strategic insights from raw datasets and algorithms. Partner with Engineering and Advisory Services teams to scale solutions and answer complex business questions. Independently manage projects while communicating with clients and stakeholders.

Design and build real-time, highly concurrent software and cloud-native systems for an AI-powered emergency communications platform. Integrate and deploy LLMs, optimize voice and audio-processing pipelines, and support speech recognition, synthesis, detection, and filtering. Contribute to infrastructure, observability, security, scalability, and fault tolerance. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering best practices.

Implements AI-enabled workflows across PGA Tour departments by documenting processes, translating stakeholder needs into requirements, configuring enterprise AI tools, building prototypes, integrating systems, and supporting rollout. The role evaluates platforms, integrations, and vendor solutions; troubleshoots workflows; trains users; maintains documentation; and partners with engineering, data science, cybersecurity, privacy, operations, and vendors to deliver secure, reliable, measurable improvements.

Lead the architecture, development, and deployment of scalable AI/ML and generative AI platforms powering agentic workflows. Own technical strategy, platform evaluations, roadmaps, system reliability, and cross-functional delivery. Mentor engineers and technical leads while establishing enterprise AI best practices. Build multi-component systems involving search, knowledge management, orchestration, databases, streaming, distributed processing, cloud infrastructure, and LLM-based conversational experiences.