Staff Software Engineer, Machine Learning, One

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 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 with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in developing machine learning models such as recommender systems, pricing optimization, user modeling, or computational advertising.
• Experience in architecting and deploying ML systems that functions efficiently at a massive scale.
• Experience mentoring and leading engineers on technical projects.
• Understanding of large-scale data processing frameworks such as SQL, Spark or MapReduce, Python for efficient data querying and analysis.
• Excellent communication skills with the ability to convey the team's technical goal effectively to executive leadership and cross-functional stakeholders.

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. Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

Responsibilities

• Establish and lead the long-term technical goal for Machine Learning (ML) powered personalization, pricing and recommendation systems that scale to billions of users.
• Design, develop and scale production-grade ML systems with an emphasis on performance, reliability, debuggability and model explainability.
• Serve as a technical pillar for the team by mentoring engineers, fostering their growth, providing design guidance and cultivating a culture of engineering excellence.
• Identify machine learning applications to drive user growth, engagement, and business, while leading modeling initiatives from exploring novel algorithmic approaches for offer optimization to developing models for new product tiers.

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 .