Staff Software Engineer Machine Learning Youtube jobs
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Flywire Senior Full Stack Software Engineer I Payments Platform United States, Massachusetts, Boston
Write clean, high quality, testable, secure, maintainable and extendable code. Solve items such as challenging bugs and production issues within the development environment. Work on complex issues where analysis of...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
Design, monitor, and improve the performance and reliability of lab network and virtual lab services. Configure and manage enterprise-grade switches (Arista, Juniper, Cisco, Dell) and firewalls (Palo Alto). Handle Layer...
Employee management including but not limited to sourcing, interviewing and hiring candidates for open positions, onboarding, establishing goals, assigning or delegating work, providing on-the-job training, giving guidance to staff, conducting...
Independently lead complex, high-impact initiatives across eBay’s Data Platforms, from conception to successful production rollout. You will collaborate with Product Managers to help define the vision for the data platform...
Author Architecture Decision Records to define technical solutions and influence eBay's tech strategy. Drive complex projects from inception to successful implementation, improving system performance and security for entire organization and...
Write clean, high quality, testable, secure, maintainable and extendable code. Solve items such as challenging bugs and production issues within the development environment. Work on complex issues where analysis of...
Searching for the perfect machine learning software engineering role? Look no further than Expoint! We are the premier insider’s job platform for the tech industry, and we are proud to present the newest opportunity: Staff Software Engineer (Machine Learning, YouTube).
This role brings together the perfect blend of software engineering, machine learning, and YouTube expertise. The successful candidate will help maintain and enhance YouTube’s ML infrastructure and work on ML research and development that can scale across the platform.
Responsibilities will include designing, building, and executing ML models and pipelines, developing ML scientist tools, contributions to ML open source projects, and more. This is an exciting opportunity for technical folks who have a passion for software engineering, machine learning, and YouTube.
Requirements for this role include a degree in Computer Science or another related field, experience with cloud computing, strong programming languages (Python/Go/Java/C++), creative problem-solving abilities, strong analytical skills, as well as excellent communication and interpersonal skills.
Take hold of this opportunity today and join the Expoint team! We’re excited to align you with this role and see your development along with our current engineering staff.