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Top Remote Java Developer Jobs in Los Angeles, CA
The Senior Software Engineer will lead the development of Square's Core OS Platform, collaborating with partners across product and engineering teams. Responsibilities include overseeing software projects, mentoring engineers, and contributing to all phases of development. The role also involves working closely with the SQUID Platform Team to integrate and maintain hardware and software solutions.
The Staff Machine Learning Engineer will lead efforts in designing and enhancing systems for monitoring and preventing financial crimes on Cash App. Responsibilities include developing ML models, integrating AI technologies, and collaborating with cross-functional teams to optimize operations and ensure a safe user experience.
As a Staff AI Engineer at Cash App, you will lead the design and enhancement of machine learning services, focusing on batch inference to detect financial crimes. You will collaborate with cross-functional teams to optimize workflows using Generative AI and ensure the safety of transactions on the platform.
As a Principal Security Engineer on the Product Security Engineering team, you will improve authorization systems, bolster security in core operations, build secure software, and provide leadership in software engineering excellence while maintaining high uptime for services.
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Thrive Market is seeking an Engineering Manager to lead a global team of software engineers in the Product Engineering organization. The role involves guiding the team in developing impactful product features, optimizing customer experiences, and driving innovation alongside product management. Responsibilities include mentoring engineers, ensuring best development practices, and managing API services' performance and architecture.
The Senior Software Engineer will develop and maintain front-end user interfaces, API services, and databases for NBCU Content Creation tools. Responsibilities include developing new features, maintaining existing applications, leading problem-solving efforts, conducting code reviews, and contributing to infrastructure-related tasks while collaborating with various teams.
As a Software Engineer on the Incentive team, you will scope, build, and scale products impacting millions of customers, engage in technical discussions, and collaborate across product development with several disciplines, including engineering and design.
The Senior Backend Engineer will design and operate APIs at Atticus, collaborating cross-departmentally to enhance the platform and support clients in crisis. Responsibilities include developing resilient backend systems, working with product teams on requirements, code review, and mentorship of teammates while adhering to industry standards and best practices.
As a Member of Technical Staff at Chronosphere, you'll design and implement enhancements for the metrics API and ingestion pipeline, tackle distributed systems challenges, and optimize a high-availability storage engine. You'll mentor junior engineers, collaborate on architectural roadmaps, and enhance software quality practices within the team.
The Software Engineer will participate in the software development lifecycle, implementing and maintaining code for product features. Responsibilities include writing clean code, performing code reviews, participating in design meetings, and troubleshooting customer issues. This role requires collaboration with other engineers and product managers to deliver high-quality software efficiently and effectively.
The Staff Machine Learning Engineer will enhance batch inference services and tooling, unblock modelers by providing necessary infrastructure, develop prototypes, and collaborate with teams to improve Financial Crimes Operations at Cash App using AI and ML best practices.
The Staff AI Engineer will lead the design and enhancement of batch inference services supporting LLM applications while collaborating with cross-functional teams. Responsibilities include facilitating model development by resolving infrastructure issues, promoting the use of new technologies, and applying AI/ML best practices.
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