Machine Learning Jobs in Berkeley, CA

The Fraud Program Manager will enhance the fraud risk management program, develop monitoring metrics, manage anti-fraud policy updates, and collaborate across teams to ensure compliance and effectiveness in fraud prevention.

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

As a Product Manager at Arena Intelligence, you'll lead the evaluations platform, transforming AI research into trusted product infrastructure, while collaborating across functional areas and directly engaging with users.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Lead AI-centered product design strategy for Everlaw's litigation platform, define human-AI design frameworks, influence cross-functional product and engineering decisions, mentor designers, and elevate org-wide design systems and standards.

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 Sr. Director of Manufacturing Engineering leads manufacturing functions, optimizing processes and equipment while driving innovation, safety, and efficiency in high-precision production environments.

The Head of Account Management will lead a high-performance team and manage key enterprise accounts, focusing on client outcomes, revenue growth, and operational efficiency in fraud prevention and compliance.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

The Creative Lead will overhaul customer communications, shift messaging to be more engaging, and manage organic growth through various channels like email and social media, all while building brand trust.

The Principal Product Manager will drive AI technology strategy and product vision for intelligent manufacturing systems, collaborating with AI teams to define capabilities and improve production efficiency.

The Senior AI Product Manager will lead product initiatives, focusing on AI integration, collaboration with teams to improve user experience, and driving product execution.

The Director of Product for Data Flywheel will lead the roadmap for data initiatives, ensuring quality and compliance across various engineering teams and initiatives. Responsibilities include managing data metrics, supporting data pipelines, and collaborating across teams to enhance infrastructure.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

The Senior Manager, Product Lead will oversee a team of product managers, driving product strategy, talent development, and excellence in AI-powered legal products.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

The Applied Scientist will drive research on efficient adaptive machine learning, deploy ML systems end-to-end, and contribute to product strategy, focusing on real-world impact and innovation.

Drive net-new enterprise logo acquisition by selling Findems People Intelligence platform. Target HR, Talent Marketing, and Recruiting teams, mapping CRM and marketing automation practices to talent pipeline modernization. Manage complex, multi-stakeholder sales cycles, build ROI-driven business cases, collaborate with internal teams, and forecast and close multi-product, multi-year contracts.

The Principal Software Engineer will lead the development of autonomous systems for satellites, overseeing architecture and capabilities while mentoring engineers. Responsibilities include guiding algorithms for satellite operations and ensuring software integration across mission elements.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

Lead and manage machine-learning projects at Elicit, focusing on product vision, user research, and driving impacts for researchers. Collaborate with engineers and designers for successful feature implementation.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.