Machine Learning Jobs in Berkeley, CA

Lead KYC modeling strategy, develop machine learning systems for customer onboarding and compliance, and oversee KYC monitoring and rules engine. Manage a team and align strategies with key stakeholders.

The Senior Lead AI Solutions Consultant will drive expansion revenue by promoting the Braze AI tools, conducting proof of concepts, and leading educational programs while collaborating with various stakeholders in customer lifecycle marketing.

The Principal Software Engineer will lead teams to enhance Gusto’s Payroll and Tax systems through design, implementation, and mentorship, ensuring quality and compliance across complex software solutions.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

As a Senior Manager, AI Engineer, you will lead AI engineering projects, define technical strategies, optimize models, and mentor engineers while driving innovation in the financial services sector.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

Lead the transformation of finance technology, focusing on architecture, strategy, and innovative AI-driven solutions to optimize financial processes.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

Lead the founding AI research engineering team, driving AI initiatives, translating research into scalable systems, mentoring, and integrating AI into products.

The Data Scientist will collaborate with various teams, run experiments, analyze data to inform product strategy, and drive growth through advanced analytics and machine learning.

The Senior Data Scientist will develop machine learning models to support Headway's mission of making mental healthcare accessible, leveraging large datasets to optimize the service provided to patients and therapists.

Lead and mentor a team of fraud analysts to identify and mitigate fraudulent activity. Collaborate with cross-functional teams to improve fraud detection processes and develop ML models for risk management.

As a Senior AI Engineer at Capital One, you will develop and optimize AI systems, collaborate with cross-functional teams, and contribute to foundational AI technologies.

As Product Lead, you'll enhance dispute resolution for Cash App, leading cross-functional teams to improve customer trust, compliance, and operational efficiency.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

The AI Ecosystem Head will lead AI strategy, oversee partner integrations, mentor teams, and evaluate emerging AI technologies to enhance Postman's API ecosystem.

As an Applied Researcher I, you'll leverage AI and machine learning to develop innovative banking solutions, engaging with cross-functional teams to deliver impactful AI products while conducting high-impact applied research.

Develop and implement AI solutions for legal tasks, optimizing models, and advancing AI reasoning. Collaborate with engineers and legal professionals.

As Director of Credit Risk, lead the development of credit risk strategies, oversee the credit lifecycle, and optimize loan performance while managing relationships with stakeholders.

Lead the BNPL product strategy focusing on inclusion and transparency in credit systems. Collaborate across teams to build a seamless user experience and ensure regulatory compliance.

The Machine Learning Lead will manage technology strategy for AI training data, develop models, optimize pipelines, ensure dataset quality, collaborate cross-functionally, and mentor engineers.

The Staff Data Scientist will mentor the team, develop predictive models, apply machine learning, and inform growth strategies through data analysis and experimentation.

The Data Science Director for Growth will lead a team to drive user and revenue growth through advanced analytics, AI, and experimentation.

Lead and grow the Ranking & Relevance engineering team to enhance matching systems using machine learning and search technologies, collaborating cross-functionally to improve user experience.

The role involves developing predictive models, applying machine learning for marketing insights, and executing experiments to evaluate campaign impacts.