Top Remote Machine Learning Jobs

The Senior Machine Learning Engineer at Capital One will design, develop, and implement machine learning applications in an Agile environment. Responsibilities include collaborating with product and data teams, constructing optimized pipelines, and deploying models to ensure high performance and availability. The role also involves maintaining and monitoring models in production and upholding best practices in ML development.

The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.

The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.

As a Senior Machine Learning Engineer, you will build the Cashbot customer support chatbot and create modeling pipelines while collaborating with various teams to enhance ML models that improve customer assistance. Your focus will be on developing intelligent automation tools and refining ML systems using cutting-edge technologies.

The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.

As a Machine Learning Engineer, you will develop ML solutions to enhance safety and efficiency in physical operations. You will work with cross-functional teams to build core infrastructure and services, design ML applications, and contribute to novel technology adoption.

As a Staff Software Engineer in Machine Learning Infrastructure at Thumbtack, you'll lead the technical vision for the company's ML platform. Responsibilities include defining architecture for scalable ML systems, establishing best practices, and mentoring engineering teams. You will work with cross-functional teams to align ML capabilities with business objectives.

As a Senior Machine Learning Engineer at TrueML, you will architect and develop machine learning infrastructure and pipelines, collaborate with data engineers and scientists, optimize data processing, and drive the implementation of scalable ML solutions that improve customer experience and operational efficiency.

As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborating across business and engineering teams to build scalable recommendation systems. Your work will involve designing system architectures, conducting model experiments, and applying AI/ML to enhance business intelligence and growth.

As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.

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.

As a Staff Machine Learning Engineer, you will build ML solutions for assessing customer cash flow risk, support multiple products, optimize decisioning pipelines, and identify customer growth opportunities, collaborating across various teams.

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.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

The Senior Machine Learning Engineer will design and maintain machine learning systems to detect fraud in real-time, collaborating with ML Modelers and Software Engineers on data sources and models. Responsibilities include solving technical problems at scale and owning solutions from design to operation.