Job Description

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development, and with data structures/algorithms. 5 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. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Preferred qualifications: Experience in working with two or more from the following: machine learning, search, assistant, ranking and recommendation, search quality, natural language processing, and data classification. Experience in scoping and leading projects, coordinating execution, and managing timelines. Comfortable dealing with changing specifications or standards, and helps the team navigate ambiguity. Interest in problem solving, commitment to engineering excellence, and desire to make the world a better place with ML and 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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Compensation: The US base salary range for this full-time position is $136,000-$200,000 + 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: Productionize ML based services. Build and maintain ML based embedding infrastructure for Vertex AI Search. Build new AI powered search features for Cloud enterprise customers. Work with customers to ensure product success. #J-18808-Ljbffr Karkidi

Job Tags

Similar Jobs