Machine Learning Jobs in Berkeley, CA

The Customer Success Manager will ensure effective product adoption, manage customer relationships, drive revenue, and communicate product needs while maintaining customer satisfaction.

As a Senior Data Scientist at Twitch, you will analyze complex data to drive insights, collaborate with teams, and create frameworks for success metrics while mentoring others.

The role involves research and development of machine learning optimization, content creation, recommendation systems, and real-time moderation at Roblox.

Lead a team of ML engineers focusing on ranking, retrieval, and multimodal content understanding, defining technical roadmaps and ensuring system scalability.

As a Principle Engineer at Atlassian, you will be responsible for designing and developing engineering solutions, leading teams, and ensuring high-quality standards in engineering processes.

The Technical Support Engineer will oversee technical projects in support operations, focusing on tool integration and automation, while improving workflows with Engineering and Community Management teams.

The role involves research on training models for web indexing. You'll apply your deep knowledge of search and transformer models in a product context.

As a Senior Product Designer, you will define the user experience for TestBox's new platform, conducting research, creating prototypes, and collaborating with teams to ensure a high-quality design system.

Develop and refine advanced document AI models, tackle complex modeling challenges, lead LLM fine-tuning, and foster collaboration among teams to deliver impactful solutions.

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.

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

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.

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.