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Top Machine Learning Jobs in Los Angeles, CA
As a Lead Machine Learning Engineer, you will innovate and implement AI and machine learning to enhance advertising processes, focusing on inventory forecasting, pricing, targeting, and ad delivery. You'll lead the architecture design of ad algorithms, develop scalable data analysis approaches, and mentor team members.
As a Machine Learning Engineer at Machina Labs, you will develop predictive models to enhance production systems in smart manufacturing. Responsibilities include data analysis, modeling, building pipelines for ML solutions, and collaborating with engineering teams to automate and optimize manufacturing processes.
As a Machine Learning Engineer at ZS, you will build and monitor ML pipelines, scale algorithms for large data sets, enhance ML platforms, implement MLOps, write production-ready code, and collaborate with teams to deliver AI solutions for clients.
This role involves leading product releases at Metropolis by developing and executing robust testing and release plans. The Product Operations Manager will collaborate with Product Managers and cross-functional teams to drive product adoption, communicate updates, and assess product impact based on data and feedback.
The Machine Learning Engineer will develop innovative advertising technology at Centerfield. Responsibilities include designing data science programs, building machine learning models, and supporting data-informed decision-making across the organization. This role requires strong technical skills, leadership in project delivery, and expertise in large data sets, particularly in the context of Generative AI.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
As a Principal Software Engineer in AI/ML Integrations, you will design, develop, and deploy AI & ML integration pipelines within the elluminate platform. Collaborate with data science teams to streamline data management and analytics for clinical trials, while ensuring scalability, performance, and security. Contribute to architectural decisions and mentor junior engineers in a collaborative environment.
The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.
The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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