Top Remote Machine Learning Engineer Jobs in Los Angeles, CA
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.
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.
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.
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.
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.
Featured Jobs
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.
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.
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.
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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.
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.
Seeking an experienced engineer to join the Machine Learning Foundations team to build self-service tooling for the model lifecycle, collaborate with internal customers, and work on the entire machine learning lifecycle.
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.
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.
Dessa is seeking a Deep Learning Research Scientist to push the boundaries of deep learning capabilities, specializing in audacious projects at Block. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, advancing research agenda, and contributing to the global AI community through open source.
Play a major part in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Confront real-world challenges using AI/ML expertise to develop scalable solutions. Collaborate with a team to produce quality software and high-impact solutions for users.
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