Machine Learning Jobs in Oakland, CA

Lead AI-driven automation for risk and compliance by defining strategy, roadmaps, and metrics. Partner with ML engineers, data scientists, design, legal, and operations to build, evaluate, and deploy safe, reliable automations; run experiments, define success/failure behaviors, and drive cross-functional execution to improve decision quality and operational efficiency.

Lead strategy and execution for AI-powered risk automation products. Identify automation opportunities, define product requirements, partner with ML/data/engineering/design, run experiments, set metrics for accuracy, safety, and reliability, and drive cross-functional launches to improve decision quality and operational efficiency.

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

The Global Head of Sanctions will lead Block's sanctions compliance program, manage escalations, regulatory reporting, and engaging with external agencies while developing and implementing sanctions policies.

As a Manager in the Finance team, you will support clients in their Finance Transformation using Oracle Cloud ERP and EPM, providing problem-solving, coaching, and analysis to enhance their financial functions with new technologies.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

As a Senior Manager, you will lead finance transformation efforts, assist with Oracle implementations, manage teams, and ensure client satisfaction.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

The role involves permitting review, plan examination, and interpreting building codes while also supporting product development and project management efforts.

Lead product strategy and execution at Findem, focusing on delivering insights and coordinating with cross-functional teams. Own the product development process and drive innovation while aligning with market needs.

Lead end-to-end product design across Jerry’s core offerings, ship 0→1 features, partner with research/product/data, evolve a scalable design system, apply AI thoughtfully, and raise UX and visual craft to drive engagement and retention.

Lead end-to-end product design for Jerry's consumer web and mobile products. Translate data-heavy problems into intuitive user flows, wireframes, prototypes, and high-fidelity UI. Collaborate with PMs, engineers, and data scientists, leverage research and analytics, evolve the design system, and apply AI to improve personalization and automation.

Lead end-to-end performance creative for paid channels: conceptualize, produce, edit, and iterate ads across TikTok, Meta, YouTube, and CTV. Use AI tools, translate performance data into creative direction, manage agencies and production partners, and elevate brand and creative quality while optimizing for measurable growth.

Lead end-to-end product design for Jerry's core offerings, ship 0→1 features, partner with research/product/data, evolve the design system, and thoughtfully apply AI to create elegant, scalable consumer experiences.

Build and grow Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Develop channel-specific playbooks, grow and moderate subreddits, scale authentic content and engagement leveraging AI, and partner with Growth and Content teams. Measure sentiment, share of voice, referral traffic, and LLM citation to optimize community strategy.