Google is hiring: Senior Software Engineer, Audio Machine Learning in San Jose

Senior Software Engineer, Audio Machine Learning

Join to apply for the Senior Software Engineer, Audio Machine Learning role at Google.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; Seattle, WA, USA.

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 a related technical field.
• 2 years of experience working with audio or DSP algorithms.
• 1 year of experience in a technical leadership role.

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.

The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We’re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

The US base salary range for this full‑time position is $166,000‑$244,000 + bonus + equity + benefits. 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 base salary only, and do not include bonus, equity, or benefits.

Responsibilities

• Be responsible for end-to-end ownership of machine learning models and associated data sets, from design, to prototype, training, evaluation, and optimization.
• Manage on-device deployment and optimization including ML runtimes (software and hardware), memory access patterns, bandwidth requirements, and power modeling.
• Be responsible for developing tools and infrastructure used to train and evaluate audio ML models, and to document progress, results, and processes.
• Manage low-level on-device integration, including auxiliary components for audio pre‑ and post‑processing and feature generation.

Equal Employment Opportunity

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology and Engineering