Machine Learning Jobs in Berkeley, CA

As an Applied Data Scientist, you will design and implement machine learning models and data pipelines to enhance our programmatic advertising platform. You'll work with teams to drive data science projects, conduct exploratory data analysis, and integrate models into production systems.

As a Machine Learning Engineer, you'll develop and deploy ML solutions for fraud detection, optimizing systems and building pipelines for high-quality models.

Lead the development of scalable ML infrastructure for fraud detection, collaborating across teams while mentoring peers and shaping technical strategy.

Develop and maintain data systems and MLOps infrastructure for machine learning algorithm development and deployment, ensuring high-quality datasets and tracking processes.

As a Software Engineer specializing in Machine Learning, you'll enhance video solutions, develop APIs, mentor engineers, and ensure high-quality code in a collaborative team.

The ML Science Manager will lead a team focused on NLP research and product development, set R&D strategies, mentor talent, and ensure the operationalization of algorithms within clinical workflows.

The Senior Staff Machine Learning Engineer will architect ML systems for search and recommendations, mentor engineers, and collaborate across teams to enhance content discovery on Patreon.

Senior Machine Learning Engineer role focused on designing and deploying ML models within product pipelines, building ML infrastructure, and ensuring robust model performance monitoring.

As a Senior Data Scientist, you will design and optimize ML models for real-time performance analytics, focusing on predictive modeling and anomaly detection.

The role involves developing ML infrastructure for research at Calico, including optimizing workflows, defining best practices, and collaborating with scientists.

The Principal Machine Learning Engineer will define and execute the technology vision at EvenUp, leading advancements in generative AI, Document AI, and mentoring the ML organization to drive innovation and impact.

Lead the engineering team in designing, developing, and deploying reliable ML services while collaborating with cross-functional teams to optimize AI solutions.

As a ML Systems Engineer, you will design high-performance model serving infrastructure, build optimization pipelines, and ensure sub-second latency for video generation models.

As a Senior Perception Engineer, you'll design cloud-side autonomy pipelines, develop semantic world models, and deploy models for real-world applications, ensuring seamless integration with fleet autonomy systems while prioritizing production readiness.

As a Senior Machine Learning Engineer, you'll enhance NLU capabilities, design algorithms, and push AI performance while ensuring responsible AI practices.

Design, develop, and deploy advanced causal Marketing Mix Models to guide marketing budget decisions and business growth at Adobe.

This role leads the AI/ML Platforms team, driving the strategy and development of AI solutions and cloud migrations while collaborating with cross-functional teams.

The role involves advancing ML systems, building APIs, mentoring engineers, and ensuring high code quality and engineering practices.

Develop custom models and algorithms for large datasets, collaborate with stakeholders to leverage data for business decisions, and assess data sources and techniques.

The role involves developing machine learning models and infrastructure, collaborating with cross-functional teams to optimize marketing personalization, and leading ML projects.

Lead development of GenAI products, improve LLM quality, design ML pipelines, and collaborate with cross-functional teams to enhance AI solutions.

Lead the design and development of advanced recommendation systems and machine learning pipelines, optimizing performance for millions of users.

Lead the development and deployment of machine learning models, focusing on optimization and edge computing while collaborating with AI researchers and engineers.

Lead the development of agentic AI systems for real-time 3D environments, including design, implementation, and collaboration for advanced ML frameworks and systems.

Lead the development and strategy for machine learning algorithms in search and recommendation systems, focusing on personalization and deployment efficiency.