Software Engineer III, AI/ML, Image Recommendation Modeling

Google

Mountain View, CA

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JOB DETAILS

SKILLS

Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Business Growth, C++ Programming Language, Communication Skills, Computer Science, Cross-Functional, Data Collection, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Equal Employment Opportunity (EEO), Google Search Engine, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Machine Learning, Natural Language Processing (NLP), Network Design, Problem Solving Skills, Product Planning, Python Programming/Scripting Language, Reinforcement Learning, Scalable System Development, Software Development, Software Engineering, Team Player, User Interface Design, User Interface/Experience (UI/UX)

LOCATION

Mountain View, CA

POSTED

Today

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in Python and C++ programming languages, or 1 year of experience with an advanced degree.
1 year of experience with Machine Learning, specifically reinforcement learning (e.g., sequential decision making).
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience with personalization, recommender systems, or multimodal machine learning.
Strong problem-solving, collaboration, and communication skills.
Experience developing accessible 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. As a part of the Ember team, you will help reimagine Google Images, a platform serving over a billion daily interactions, to build a queryless, hyper-personalized feed that fuels creativity worldwide.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $147,000-$211,000 + 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.

Responsibilities

Design and build scalable ML infrastructure for Ember’s 0-to-1 ranking and feed blending platform.
Apply advanced ML and multi-objective optimization techniques to curate a hyper-personalized, inspiring visual feed for global users.
Lead the technical execution of novel, GenAI-driven user experiences from ideation to production rollout.
Drive the end-to-end machine learning life-cycle, data gathering, model training, offline/online evaluation, and deployment at a massive scale.
Collaborate with Product Managers, UX, and cross-functional engineering teams to define technical paths to launch and deliver on the product roadmap.

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.

About the Company

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Computer Software

EMPLOYEE BENEFITS

Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

FOUNDED

1998

WEBSITE

https://goo.gle/4dbno6V

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