Top Machine Learning Engineer Jobs in Los Angeles
Design, implement, and scale critical machine learning components and services to support strategic initiatives at Snap Inc. Responsibilities include building a next-generation training framework, optimizing training performance, developing an AutoML platform, collaborating with teams, advocating for best practices, and providing technical direction.
Staff Machine Learning Engineer at Snap Inc. Create models to drive value, evaluate technical tradeoffs, ensure code quality, and build scalable products. Requires 8+ years of machine learning experience.
Seeking a Senior Staff Machine Learning Engineer with expertise in AI research to lead experimental projects optimizing large language models and enhancing model training strategies. Responsibilities include conducting experiments, publishing findings, and continuously refining AI models.
Build cloud-based AI/ML solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with team to produce quality software and deliver high-quality solutions. Requires a Bachelor's degree and 3+ years of experience in Java.
Design and implement technical features leveraging best practices for ML engineering, collaborate with client-facing teams, write production-ready code, participate in agile ceremonies, research and evaluate latest technologies, support project architect, and implement complex features.
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution
Experienced Machine Learning Engineer responsible for designing, implementing, and managing infrastructure for ML models in a collaborative environment. Must have deep understanding of ML concepts, proficiency in Python, Java, and Scala, and experience with cloud platforms like GCP, AWS, or Azure.
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.
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Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build robust products. Prioritize duties and work independently. Strong collaboration and mentorship skills required.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
Seeking a Senior Machine Learning Engineer to drive product strategy forward by leveraging in-house code and data frameworks, developing scalable algorithms, and collaborating with cross-functional teams to enhance ML systems.
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.
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Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning, implement production-ready pipelines, optimize prediction performance, and more.
Lead Machine Learning Engineer responsible for developing prediction and optimization engines for data platforms at Disney Entertainment & ESPN Technology. Drive innovation, develop novel solutions, and collaborate with cross-functional teams. Mentor team members and guide technical development.
Develop state-of-the-art algorithms and models to improve customer support efficiency and effectiveness using machine learning techniques. Collaborate with cross-functional teams to understand business needs and create impactful solutions. Monitor and evaluate model performance.
Design, build and enhance batch and real-time inference services and tooling to support ML use cases. Facilitate modelers by providing necessary infrastructure/tools. Partner with ML modelers to encourage adoption of new tools and technologies.
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.
ML Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead cross-functional projects, ensure high code quality, collaborate with teams, and solve technical challenges at scale. Mentor and support fellow engineers to enhance development capabilities.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize decisioning pipeline, and experiment with modeling techniques on customer data.
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.
Join Square as a Senior Machine Learning Engineer specializing in modeling and measurement. Develop cutting-edge ML models and algorithms to provide strategic insights for growth. Collaborate with various stakeholders and partners to enhance Square's measurement system and make data-driven decisions.
GoodRx is seeking an experienced Senior Machine Learning Engineer to drive our machine learning efforts and maximize the value of our platform. The ideal candidate should have practical hands-on expertise in data analytics, building data services and products, and strong knowledge of various machine learning models. They will contribute to the development and implementation of analytical capabilities, manage machine learning pipelines, and work with data scientists and analysts to translate prototypes to production deployment.
The Machine Learning Senior Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, and implementing ML Ops. They will collaborate with client teams and global development team to successfully deliver projects and contribute to researching and evaluating the latest architecture patterns and technologies.
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.
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