Top Machine Learning Engineer Jobs in Los Angeles, CA
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution
Staff Machine Learning Engineer at Snap Inc. Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build scalable products. Prioritize duties, work independently, collaborate, and mentor.
Seeking a Principal Machine Learning Engineer to shape Machine Learning agenda for new initiatives at Dropbox. Responsibilities include developing high-impact ML solutions, working with machine learning experts, building products for millions, and crafting direction of ML/AI at Dropbox.
Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong understanding of machine learning approaches and algorithms is required.
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.
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.
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.
Design, implement, and scale critical machine learning components and services to support Snap's strategic initiatives. Build a next-generation training framework, optimize model performance with GPUs, develop an AutoML platform, and collaborate across teams to deliver innovative solutions. Provide technical direction influencing the entire company.
Featured Jobs
Create machine learning models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong collaboration and mentorship skills required.
Drive the technical roadmap of the Ad Ranking team, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology in machine learning, provide technical direction to improve ML tech stack, collaborate with leadership, and advocate for best practices.
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Develop and implement key machine learning models, facilitate ML data preparation, and optimize predictions and recommendations. Act as a resource to the Machine Learning team on Data Lifecycle Management. Design scalable, reusable data architecture using Snowflake.
Senior Machine Learning Engineer responsible for creating personalized content recommendations for anime fans worldwide. Design and develop scalable recommendation system architectures, preprocess data, train ML models, measure effectiveness, and ensure operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow, PyTorch, GPU optimization, and cloud computing platforms.
As a Principal ML Engineer at Disney Entertainment & ESPN Technology, you will partner with teams to develop machine learning models for personalization, fraud detection, and more. Responsibilities include data modeling, visualization, analysis, and collaboration with stakeholders. Impact 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.
Lead Machine Learning Engineer responsible for driving innovation and applying state-of-the-art machine learning techniques. Collaborate with cross-functional teams and oversee end-to-end project execution. Prioritize work, mitigate risks, and communicate project progress effectively.
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.
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.
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.
The Applied AI Scientist at ZS will be responsible for developing advanced algorithms, executing statistical techniques on large data sets, evaluating emerging datasets and technologies, and contributing to thought leadership. The role requires expertise in Python, Pyspark, and machine learning algorithms, along with strong communication, critical thinking, and problem-solving skills.
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