Senior Software Engineer, AI/ML, Google Workspace at Google

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

244000.0

Posted On

06 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Testing, Software Design, Architecture, Speech Technology, Reinforcement Learning, ML Infrastructure, Model Deployment, Data Processing, Debugging, Algorithms, Technical Leadership, Accessible Technologies, Collaboration, Documentation, Problem Solving

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. * 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. * 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. * 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). PREFERRED QUALIFICATIONS: * Master's degree or PhD in Computer Science or related technical field. * 5 years of experience with data structures/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. AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. 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). * 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. * Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Responsibilities

Write and test product or system development code while collaborating with peers and stakeholders through design and code reviews. 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.