Software Engineer, Machine Learning, Pixel AI - Google

San Francisco, CA

About the Job

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

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python or C++ programming language, and with data structures/algorithms.
Experience with machine learning or machine learning algorithms.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
Experience with Android Development.
Experience with Natural Language Processing or Large Language Models.
Excellent problem-solving and analytical skills.
Passionate and respectful team player.

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.

Our team is building GenAI features on Pixel that is personal, private, and on device. We believe technology has emerged (LLMs) to enable such an agent and create a differentiated and transformative experience, especially with Pixel's unique take on hardware (e.g. Tensor chip), software, and AI.

This project will work on many cutting-edge problems, such as: LLM, AI agent's interaction with tools/APIs, private and personalized AI, etc.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

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 for new hire 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

Design machine learning systems for new GenAI features on Pixel phones.
Develop and tune machine learning models.
Propose, design, and implement data collection solutions.
Design evaluation framework and carry out evaluations of the machine learning models.
Stay up-to-date on the latest machine learning techniques and technologies and apply them to our technical solutions.

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.

Source : Google