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.
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.
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
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.
Featured Jobs
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.
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.
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.
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.
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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.
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.
Senior Machine Learning Software Engineer at Dropbox responsible for designing, building, evaluating, deploying, and iterating on large scale Machine Learning systems. Collaborate with cross-functional teams to personalize user experiences and contribute to technical strategy for machine learning lifecycle.
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.
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.
Contribute to building next-generation Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Use AI/ML expertise to solve real-world challenges in a scalable way. Collaborate with a team of developers and contribute to designing and implementing AI-first platforms.
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