Top Software Engineer Jobs
The Machine Learning Engineer at Peloton will be responsible for optimizing engagement and discovery of Peloton content through AI and ML techniques. They will collaborate with cross-functional teams to drive member engagement and work on improving ML pipelines for content recommendations.
Staff and manage a team of engineers responsible for developing and improving customer engagement experience for fitness products. Motivate team towards continuous performance improvement and support individual development objectives. Collaborate with cross-functional teams to deliver roadmap objectives and establish performance indicators. Drive automation, engineering efficiency, and timely delivery without compromising quality.
Responsible for designing and executing test scripts, managing software updates, performing load and stress testing, and testing application API calls. Telecommuting option available.
Seeking a Senior Software Engineer to build scalable solutions, collaborate with teams on projects, improve video backend, manage streaming infrastructure, and ensure high-quality video content. Requires Master's degree in Computer Science or Bachelor's degree with 5 years of experience. Special skills in Python, C, C++, C#, Javascript, AWS Media Services, Lambda, S3, Eventbridge Trigger, and Docker.
Help scale data infrastructure by building batch and streaming data pipelines, support analytics and reporting needs, collaborate with teams, understand data interactions, develop best practices.
Develop and monitor Boomi integrations, collaborate with development team, analyze business processes, lead special projects, troubleshoot data quality issues, and offer telecommuting option. Salary range: $104,125 - $125,600 per year.
Craft and maintain hardware validation test plans, conduct product verification and validation, analyze product reliability, design and build automated test rigs, work closely with technicians, collaborate with global team, and complete test and data analysis activities for product development programs.
Senior Machine Learning Infrastructure Engineer responsible for building, evolving, and scaling ML system infrastructure at Peloton. Collaborates with ML engineers, data engineers, and other backend engineers to implement scalable solutions for model development, monitoring, and offline experimentation. Key focus on creating internal training platforms and deploying data stores for batch pipelines and real-time recommendations.
Lead Architecture/Design reviews, perform detailed design of components, analyze engineering analysis, coordinate prototype builds, write test plans, provide coaching and mentorship, use data for decision making
Design, implement, deploy, and document projects built on the Salesforce platform. Collaborate with internal teams to build scalable solutions for Sales, Customer Support, and Field Service clouds. Proactively identify risks and ensure the smooth operation of Salesforce systems.
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