Top Machine Learning Engineer Jobs
As a Staff Machine Learning Engineer in the Risk team at Cash App, you'll develop ML solutions to mitigate risk and fraud while collaborating cross-functionally with various teams. You'll utilize your expertise in machine learning algorithms and data analysis to enhance product lifecycle management.
As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale algorithms for large datasets, implement ML Ops, write production-ready code, and collaborate with teams to deliver AI-enabled solutions in healthcare. You'll also research new technologies and contribute to the enhancement of ML engineering platforms.
As a Machine Learning Engineer II at Remitly, you will develop models to assess risks in financial transactions, collaborating with engineers and data scientists to enhance fraud detection efforts. You'll build machine learning models and ensure they operate effectively within the company's infrastructure.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
Design and build the next generation library for deep learning within the firm. Empower researchers to iterate faster and perform experiments that were not possible before. Work with HPC experts to optimize workflows and deliver improvements in training speed and cost savings.
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.
Mid level machine learning engineer role at Instacart. Responsibilities include designing, developing, testing, and deploying machine learning models to solve customer problems and drive business forward. Requires strong programming skills and analytical abilities.
As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.
Featured Jobs
The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.
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.
The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.
As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning algorithms focusing on forecasting. You'll collaborate with various teams to build scalable algorithms, empower model iteration, and provide guidance to junior engineers while ensuring the effective communication of model concepts to business partners.
The Senior Machine Learning Engineer will design and implement ML pipelines to enhance identity verification, reduce inauthentic identities, and provide risk-based customer experiences. The role emphasizes mentorship, collaboration across teams, and the development of a robust ML platform for Cash App's extensive user base.
The Senior Machine Learning Engineer will focus on utilizing machine learning technologies to develop risk-based solutions that enhance customer verification processes and reduce fraudulent identities. Responsibilities include designing ML pipelines, maintaining model platforms, and shaping long-term ML strategies while collaborating with various teams at Cash App.
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborate with various teams to enhance AI functionalities across products, and guide junior engineers. Your role includes designing architectures, conducting model evaluations, and ensuring effective AI integration throughout the organization.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Senior Machine Learning Engineer, you will work on productionizing machine learning applications and systems at scale. You'll participate in the design and implementation of ML applications, collaborating with Product and Data Science teams, and focus on optimizing ML models, building data pipelines, and ensuring high performance and availability of solutions. You will leverage cloud technologies and follow best practices in responsible AI.
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborating with teams to produce models and optimize performance. Responsibilities include model design, coding, infrastructure decisions, and maintaining production models. You'll also build cloud-based architectures and ensure best practices in model governance.
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on high availability and performance. You will collaborate with various teams, develop optimized ML models, automate tests, and ensure responsible AI practices. This includes maintaining and monitoring deployed models and utilizing cloud technologies for scalability.
The Data Scientist will design and deliver Customer Experience solutions by utilizing machine learning techniques and data analysis to solve business problems and automate processes. Responsibilities include extracting insights from customer data, implementing ML algorithms, and conducting data analysis.
As a Lead Machine Learning Engineer, you will innovate and implement AI and machine learning to enhance advertising processes, focusing on inventory forecasting, pricing, targeting, and ad delivery. You'll lead the architecture design of ad algorithms, develop scalable data analysis approaches, and mentor team members.
The Senior Machine Learning Engineer will innovate and enhance advertising solutions using AI and machine learning, focusing on ad inventory forecasting, pricing, and targeted advertising. This role involves algorithm architecture, scalable data analysis, and collaboration with various teams to optimize advertising processes.
The Lead Machine Learning Engineer will develop innovative AI and machine learning solutions for Disney's advertising platform, driving improvements in ad inventory forecasting, experience, pacing, pricing, targeting, and delivery. The role involves designing ad algorithms, conducting scalable data analysis, and collaborating across teams while mentoring junior members.
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