Software Engineer, Discover Videos Content

Exl

Mountain View, CA

Full Time

Mid Level

141k-202k

about 1 month ago

Job Description

About the Role

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.

Key Responsibilities

Identifying the gap in coverage and quality between videos, and those matching the product idea, through data analysis, evaluation and debugging.
Leverage multimodal LLM models to understand the video content and generate useful signals for retrieval and ranking.
Implement, evaluate, and launch changes across all parts of the stack, including indexing, retrieval, scoring, etc.
Collaborate with partner teams such as user modeling, creator understanding, media infrastructure, Discover infrastructure, etc. to realize, experiment, and launch ideas.
Build and improve the infrastructure to index and serve video content for Discover.

Requirements

Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++ and Python 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, reinforcement learning, ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Nice to Have

Master's degree or PhD in Computer Science or related technical fields.
1 year of experience building and deploying information retrieval or recommendation systems in production.
Experience developing accessible technologies.
Experience in Recommendation Systems, Information Retrieval, Search Quality, or Search Infrastructure.
Experience with ML infrastructure (e.g., model evaluation, deployment, data processing, debugging).

Benefits & Perks

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.
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.

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