Top Machine Learning Engineer Jobs in Los Angeles
This role is for a Machine Learning Engineer focused on modeling within the Cash App's ML team. Responsibilities include building machine learning models for fraud detection, customer support automation, and credit evaluation. The role involves experimenting with state-of-the-art algorithms, utilizing various datasets, and developing innovative solutions to improve customer experiences. The position requires a creative problem-solving approach and a deep understanding of artificial intelligence techniques.
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.
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.
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.
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.
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.
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.
As a Machine Learning Engineer at Dropbox, you will be responsible for designing, building, evaluating, deploying, and iterating on large-scale Machine Learning systems. You will collaborate with cross-functional teams to revolutionize the way people work and collaborate.
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Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with teams, monitor model performance, and stay updated on latest ML and fraud detection trends.
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 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.
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.
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.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. The Senior Machine Learning Engineer will work on the Underwriting and Credit team, building and integrating ML solutions for evaluating customer cash flow risk. The engineer will experiment with various modeling techniques and partner cross-functionally to bring solutions into production.
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.
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.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products in Cash App, optimize decisioning pipeline, experiment with various modeling techniques, partner cross-functionally with finance, product, and engineering teams.
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.
Design, build, and launch credit products and features within the Underwriting & Credit organization at Cash App. Collaborate with cross-functional teams to develop ML solutions and enhance user experiences. Mentor fellow engineers and contribute to the growth of development capabilities.
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.
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