Top Machine Learning Jobs in Los Angeles, CA
Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, machine learning models, personalization services, and data products/services for a healthcare marketplace. Collaborates with data scientists, mentors junior engineers, and addresses technical challenges for product development.
Lead the development and implementation of analytical capabilities, machine learning models, personalization services, and data products/services. Collaborate with Data Scientists and Analysts to transition prototypes into production deployments. Analyze data to gain insights into user behavior and inform business decisions. Mentor junior engineers.
Seeking an experienced engineer to join the Machine Learning Foundations team to build self-service tooling for the model lifecycle, collaborate with internal customers, and work on the entire machine learning lifecycle.
Looking for a Senior Machine Learning Scientist to develop new machine learning products for a real-time acquisition marketing platform. Responsibilities include hands-on development of scalable algorithms, keeping up with latest ML advancements, and contributing to the company's ML roadmap.
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Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay updated with latest technology, advocate for best practices, and provide technical direction for the ML community.
Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for company-wide metrics and GTM attribution. Partner with stakeholders to refine growth strategy and inform investment decisions with data.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead projects, maintain high code quality, collaborate with teams, solve technical problems, and mentor engineers.
Seeking a talented Machine Learning Engineer to join a leading online advertising agency in Los Angeles, focusing on innovative advertising technology. Responsibilities include designing data science programs, machine learning models, and architecture to support Generative AI. Must have practical experience with large datasets in web lead generation, search engine marketing, and cloud computing domains.
Lead a team of engineers to build one of Dropbox’s newest AI offerings, Dash. Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility. Provide strategic direction and contribute to technical and product strategies.
The Applied AI Scientist at ZS will be responsible for developing advanced algorithms, executing statistical techniques on large data sets, evaluating emerging datasets and technologies, and contributing to thought leadership. The role requires expertise in Python, Pyspark, and machine learning algorithms, along with strong communication, critical thinking, and problem-solving skills.
ML Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+
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