Machine Learning Jobs in Berkeley, CA

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

Manage business development and client relationships, drive software engineering projects, lead strategy for digital product offerings, and mentor teams.

As a Machine Learning Intern, you will lead projects, analyze data, build models, and solve complex problems using machine learning and AI techniques.

The Machine Learning Engineer will design, build, and maintain scalable data pipelines, manage compute clusters, and collaborate with research teams for model training.

Manage and optimize computational infrastructure for training ML models, ensuring scalability for large datasets and performance optimization.

The AI Research Recruiter will develop strategic recruiting plans, enhance processes, and collaborate with teams to hire top AI research talent.

The Customer AI engineer develops prompts and applications for customers, ensuring content meets specific requirements by utilizing programming, linguistic skills, and collaboration with teams.

This role involves personalizing recommendations for retailers using machine learning, leading technical strategy, and driving significant business impact.

The Staff Product Manager will lead product vision and roadmaps, focusing on user discovery experiences while collaborating with cross-functional teams to enhance engagement and conversion metrics.

Develop machine learning-powered ads ranking models, create performance evaluation metrics, and collaborate with Data Scientists to enhance ad experimentation.

The Lead Product Manager will spearhead fraud prevention strategies, collaborate with multiple teams, and ensure a secure customer experience amidst fraud risks.

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

As a Data Scientist, you'll enhance financial models, engage with clients to optimize product use, identify credit risk vectors, and develop data pipelines.

Lead a high-performing growth engineering team focusing on user acquisition and retention, implementing data-driven strategies and technical solutions.

Lead AI quality efforts, establish evaluation processes, improve AI outputs, and work closely with product engineering to enhance quality in AI products.

You will build and maintain infrastructure for ML engineers, tackle complex architecture challenges, and lead projects from design to launch.

The Senior Data Scientist will analyze data to improve business outcomes, build data models, leverage machine learning, and support product teams with strategic insights.

The Engineering Manager - Machine Learning will lead a team developing ML models for growth personalization and financial insights, driving measurable impact across Plaid's products.

The Client Solutions Associate will manage client relationships, oversee project delivery, and collaborate with teams to deliver innovative solutions. Strong consulting and technical background required.

Responsible for generating new business opportunities, managing sales processes, building client relations, and exceeding sales quotas in a competitive environment.

The Marketing Associate supports marketing campaigns, analyzes impact, prepares reports, and collaborates with teams while maintaining attention to detail.

The Senior Account Executive will develop relationships, generate new business opportunities, analyze markets, and manage the sales process to drive growth in Sports, Media, and Marketing sectors.

Consultants will design, build, and implement AI strategies and systems, guiding clients in adoption and maximizing AI value.

As an Applied Scientist III, you will shape AI strategies, develop scalable applications using cutting-edge technologies, and mentor junior scientists at Capital Group.