Top Machine Learning Jobs in Los Angeles, CA

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

The role involves creating scalable AI and ML solutions, collaborating with teams, analyzing data, and deploying models in production environments.

The Machine Learning Engineer II will develop ML strategies, build and implement ML pipelines, educate teams, and create internal tools for production workflows.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

Lead strategy and implementation of AI-assisted caselaw content collection, conversion, enhancement, and global deployment; define standards, guide model development, measure performance, and drive cross-functional adoption.

The Principal Data Scientist will leverage machine learning and data engineering to enhance safety evaluations and translational research in pharmaceuticals, collaborating with experts to create predictive models and AI-ready datasets.

The Machine Learning Engineer will design and implement ML algorithms to enhance wireless communication systems, analyze RF datasets, and collaborate with teams on ML use cases and model evaluation.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The role involves advising clients on AI strategy, designing AI solutions, and leading change management efforts. This includes governance, training, and client engagement while mentoring junior team members.

As a Principal Scientist, you will lead the development of computational pathobiology initiatives, leveraging data science to transform multimodal data into actionable insights. Responsibilities include building data pipelines, implementing analytics, and collaborating across functions to enhance translational safety in drug development.

The Senior Machine Learning Engineer will develop advanced recommendation models, optimize machine learning algorithms, and collaborate with cross-functional teams to enhance user engagement across Crunchyroll's platforms.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Machine Learning Engineer will design, develop, and implement advanced recommendation systems, collaborating with cross-functional teams to enhance personalization for a global audience.

The Senior Gen AI Developer will design, develop, and deploy generative AI applications, focusing on LLMs and retrieval-augmented generation pipelines, while collaborating in a dynamic team environment.

The Producer will manage financial and operational aspects of hybrid, VFX, and animation projects, ensuring timely and budget-compliant deliveries while integrating AI methodologies.

Supervise and integrate Animation and Generative AI technologies into workflow, ensuring project quality, leading teams, and advancing animation methodologies.