[PART_TIME Remote] Senior Software Engineer, Machine Learning

We're on a mission and need a skilled Senior Software Engineer, Machine Learning, Youtube! This Remote position offers an immediate start for the right candidate. This position requires a strong and diverse skillset in relevant areas to drive success. This role offers a salary package of a competitive salary, commensurate with experience.

 

 

Minimum qualifications: • Bachelor's degree or equivalent practical experience. • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. • 3 years of experience testing, maintaining and/or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or artificial intelligence. • Programming experience in Python. Preferred qualifications: • Master's degree or PhD in Computer Science or related technical field. • 1 year of experience in a technical leadership role. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together. The US base salary range for this full-time position is $161,000-$239,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Write and test product or system development code. • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Apply Job!

 

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This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now!

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