Machine Learning Jobs in Orange, CA

The Lead Quantitative Scientist will design and lead quantitative models for lending and financial forecasting, enhancing the collectibles market's data-driven infrastructure, while collaborating cross-functionally and building a team over time.

The role involves building AI-enabled solutions, developing data pipelines, and collaborating with teams to enhance Oncology R&D workflows.

Responsible for designing and developing AI solutions for Oncology R&D, collaborating with scientists to translate complex questions into actionable insights, and contributing technical expertise in rapidly prototyping AI applications.

Lead the Oncology AI product strategy and roadmap, manage AI engineering teams, and drive stakeholder engagement for impactful AI solutions in R&D.

Onsite Senior AI Product Owner for a construction client in Santa Ana. Own backlog, roadmap, and sprint priorities; translate business needs into user stories and acceptance criteria; lead AI/analytics use cases (predictive analytics, ML, computer vision, OCR, GenAI); collaborate with data science and engineering for deployment and governance; engage construction SMEs and stakeholders; coordinate offshore teams and ensure delivery readiness and quality.

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.

The role supports AI governance and compliance activities, coordinates risk assessments, provides compliance documentation, and ensures alignment with regulations.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

Lead computational-immunology analyses to identify therapeutic pathways using high-dimensional omics data. Deliver hands-on data analysis, visualization, and interpretation to support discovery projects, collaborate with cross-functional discovery teams, and influence program strategy through technical execution and novel method piloting.

Design and deploy machine learning systems, focusing on LLMs and optimizing them for production. Engage in ML operations and build end-to-end pipelines for scalable solutions.

The Senior Software Engineer will lead AI/ML initiatives, develop production features, manage offshore teams, and ensure application stability in a hands-on engineering role.