Top Machine Learning Jobs in Los Angeles, CA
As a Staff Software Engineer for Machine Learning Infrastructure, you will develop scalable machine learning workflows and backend infrastructure for training, evaluation, and inference, while managing data systems and collaborating with product teams to enhance Snapchat's capabilities.
As a Manager of Machine Learning Engineering, you will lead a team to develop models and signals for user and content understanding. You will define system architecture, ensure quality and scalability, and collaborate on improving ranking models for ads and content. Your role involves mentoring team members and enhancing machine learning infrastructure.
The Senior Technical Sourcer will support the recruitment of machine learning professionals by sourcing and screening candidates, executing strategies for a robust talent pipeline, and collaborating with teams to fill priority roles. They will utilize hiring metrics and maintain a positive experience for candidates throughout the recruitment process.
As an Applied AI Scientist at ZS, you will develop advanced algorithms for high-dimensional problems, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership through research and publication.
As a Machine Learning Engineer at ZS, you'll develop and maintain ML models, implement MLOps, scale algorithms for large datasets, and collaborate with teams to ensure high-quality deliverables. Your responsibilities include building model pipelines, writing production-ready code, and exploring new technologies to innovate AI solutions.
Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimize services, manage project milestones, communicate progress to stakeholders, and uphold best practices within the team while collaborating with engineers and product managers.
Featured Jobs
Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.
Senior Research Developer responsible for designing and implementing large-scale recommendation systems to personalize content recommendations for millions of anime fans worldwide. Key responsibilities include system architecture design, data preprocessing, model training, and operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow and PyTorch.
As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.
As a Senior Machine Learning Engineer on the Personalization team, you will leverage machine learning to enhance customer experiences and drive growth for Cash App. You will work closely with product and marketing teams to develop and deploy machine learning models tailored to customer interactions, utilizing a rich data set for personalized recommendations.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
As a Senior Machine Learning Engineer, you'll design and manage distributed services and pipelines for Underwriting & Credit, collaborate cross-functionally, adhere to high code quality, and mentor fellow engineers while tackling technical challenges and contributing to new machine learning applications.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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