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Minimum qualifications:

+ Bachelor’s degree or equivalent practical experience.

+ 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

+ 2 years of experience with data structures or algorithms.

+ 1 year 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.

+ 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, and debugging).

Preferred qualifications:

+ Master's degree or PhD in Computer Science or in related technical fields.

+ 2 years of software development experience applying ML concepts and techniques.

+ Experience in developing accessible technologies.

+ Experience in at least one programming language commonly used in ML (e.g., Python, C++) and with relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

+ Understanding of fundamental data structures and algorithms, and their application in designing and optimizing ML models.

+ Ability to analyze and interpret data, and a foundational understanding of ML evaluation metrics.

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.

Google Home Security Cameras have been at the forefront of Computer Vision techniques in scene understanding and providing helpful alerts. Our mission is to create an AI security guard that can help in keeping your home and family safe. With Gemini multimodal models, we’re now able to redefine camera intelligence for the industry.

More details about our most recent launches in this blog post (https://blog.google/products/google-nest/gemini-google-home/) .

In this role, you will design the models and algorithms that power the AI features for the cameras. From models performing on-device scene understanding to advanced Gemini models aiding rich event descriptions and information retrieval.

You are at the intersection of research and product, where you will not only work with ML, but also deploy and experiment across millions of devices and users.

The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

The US base salary range for this full-time position is $141,000-$202,000 + 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/) .

+ Write product or system development code.

+ Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

+ Apply state of the art ML, and generative models to improve the video understanding quality.

+ Work on various efficiency projects/models to reduce the TPU utilization.

+ Improve information retrieval and reasoning system that powers Search.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.