Top Machine Learning Jobs in Santa Cruz, CA

As a Machine Learning Engineer, you'll build statistical models, optimize advertiser performance, design experiments, and collaborate across teams to enhance Liftoff's revenue growth.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

The Senior Manager, Economic & Industry Insights, analyzes large datasets to generate actionable insights in the automotive sector, influences strategic decisions, and engages with stakeholders through published reports and presentations.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

Lead the development of AI capabilities for ERP and CRM platforms, collaborating with stakeholders to deliver impactful solutions and drive product strategies.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead and manage a team of engineers in developing Affirm's Fraud Decisioning System, focusing on innovation and cross-functional collaboration with various stakeholders.

The Senior Solutions Engineer at Snyk will architect technical strategies for enterprise sales, construct value realization frameworks, and engage with executive stakeholders to align Snyk's solutions with business priorities.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

As a Loan Processing Representative, you will process loan applications, handle customer inquiries, and ensure compliance with quality standards in a remote work environment.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

The Incubation Foundry Director will lead a team to develop strategic AI innovations, manage product incubation stages, and promote collaboration across functions to ensure market readiness of new products.