Senior Software Engineer, AI/ML, Payments Platform at Google

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

244000.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Machine Learning, Deep Learning, Natural Language Processing, Model Deployment, Model Evaluation, Data Processing, Debugging, Software Design, Software Architecture, Technical Leadership, Accessible Technologies, Java, C++, Python, Go

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 5 years of experience with software development in one or more programming languages (e.g., Java, C++, Python, or Go). * 3 years of experience with machine learning algorithms and tools (e.g. TensorFlow), or applied ML (e.g., deep learning, natural language processing). * 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures or algorithms. * 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. Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Write and test product or system development code. * Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.). * 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. * Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and develop ML models to optimize specific business problems. * Maintain and improve existing models running on Google servers, mobile devices, and web browsers.

Responsibilities

Write and test product or system development code while collaborating with peers and stakeholders. Design and implement solutions in specialized ML areas and maintain existing models running on various platforms.