Machine Learning Jobs in Orange, CA

Develop and optimize Pacsun’s enterprise MicroStrategy environment, including schemas, semantic layers, dashboards, dossiers, reports, and performance tuning. Integrate generative AI, natural-language queries, predictive analytics, anomaly detection, and RAG-enabled use cases. Write complex Snowflake SQL, support ETL/ELT processes, enforce governance and security, troubleshoot platform issues, document solutions, collaborate with business stakeholders, and mentor junior developers.

Build and deploy production machine learning systems across computer vision, multimodal modeling, structured data, and agentic AI. Own projects from problem definition through monitoring, develop data and evaluation pipelines, establish feedback loops, and translate experiments into practical technical recommendations. Collaborate with product, engineering, operations, annotation teams, and domain experts while delivering maintainable code, documentation, and scalable ML solutions.

Conduct computational research supporting pediatric neuroscience and healthcare improvement. Analyze and integrate fMRI, structural MRI, diffusion MRI, EEG/qEEG, electronic medical record, and other datasets; develop algorithms, simulations, statistical analyses, visual analytics, and predictive models; and collaborate with clinicians and researchers to translate findings into practice.

Own product vision, strategy, roadmaps, and full lifecycle delivery for a payments technology portfolio. Drive growth and profitability through pricing, commercialization, investment priorities, and optimization. Partner with engineering, analytics, sales, relationship management, and external stakeholders to prioritize initiatives and launch enhancements. Use market research, client feedback, usage analytics, and competitive intelligence to build business cases and develop innovations, including AI-powered automation and decisioning capabilities.

Leads the bank’s enterprise AI strategy, portfolio, engineering capability, governance, vendor and platform strategy, and workforce adoption. Translates business priorities into production AI initiatives, including generative AI and agentic systems, while ensuring risk controls, security, privacy, auditability, model governance, and measurable value realization. Builds and manages senior AI talent, partners with business and control functions, oversees responsible AI practices, and reports progress, cost, risk, adoption, and outcomes to executive leadership and the Board.

Own product strategy, roadmap, and execution for a high-priority AI-enabled software initiative. Partner with engineering, operations, underwriting, data science, and design to define requirements, guide development, manage tradeoffs, and deliver measurable outcomes. Lead AI evaluation, experimentation, and quality improvement while using data to prioritize investments and measure impact. Communicate strategy and progress to executives and cross-functional stakeholders, coordinating dependencies and resolving blockers.

Leads Pacsun’s enterprise business intelligence, data warehouse, analytics, and system integration strategy. Oversees BI developers and analysts, MuleSoft integrations, retail systems including Microsoft D365 and Manhattan OMS/POS, ETL and OLAP initiatives, data architecture, modeling, validation, and AI-driven predictive analytics. Partners with business and IT leaders on ERP and financial system transformation, resolves technical challenges, documents data designs, and mentors the BI team.

Lead product strategy and roadmap for recommendation and personalization systems. Partner with ML, behavioral science, design, and engineering to define requirements, run experiments, monitor production performance, and ship recommendation features that improve engagement, retention, and health behavior change.

Lead underwriting strategy for AI-enabled products, identify and manage title insurance and model-related risk, advise product/engineering/data teams, ensure regulatory and underwriting compliance, liaison between transaction underwriters and product teams, mentor junior counsel, and contribute to enterprise product underwriting principles.

Lead PRP's Accounts Payable Recovery Audit practice, managing the end-to-end audit lifecycle, P&L performance, client engagements, and a team of managers and analysts. Use analytics, automation, ERP/AP tools, and benchmarking to identify overpayments and recover funds, negotiate with vendors, present findings to finance leaders, and drive process improvements and business development.

Lead design, implementation, optimization, and administration of scalable database systems and AI/ML data infrastructure. Build vector DBs, embedding stores, RAG architectures, ETL pipelines, and integrations with LLM APIs. Provide technical leadership, performance tuning, security, data governance, and support for AI-enabled applications while mentoring junior staff and driving data quality and monitoring.