Software Engineer III, Machine Learning (Recommendations, Rankings, and Predictions), YouTube

1 Month ago • 2-4 Years • Research & Development

About the job

Job Description

As a Software Engineer III, Machine Learning at YouTube, you will be responsible for developing and maintaining algorithms and software that power recommendations, rankings, and predictions. You will work with a team of engineers to build and improve our machine learning models, ensuring they are accurate, scalable, and efficient. You will also be involved in the design and implementation of new features that enhance the user experience.
Must have:
  • Bachelor's degree or equivalent practical experience
  • 2 years of experience with software development in one or more programming languages
  • 2 years of experience with data structures or algorithms
  • 2 years of experience with machine learning algorithms and tools
  • Experience developing algorithms
  • Programming experience in Python
Good to have:
  • Master's degree or PhD in Computer Science or related technical field
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging
  • Experience developing accessible technologies
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering

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 in an industry setting.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence.
  • Experience developing algorithms (ranking, recommendations, prediction, search quality, personalization) and software that generates suggestions based on various input and output targets.
  • Programming experience in Python.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

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 .

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
View Full Job Description
$136.0K - $200.0K/yr (Outscal est.)
$168.0K/yr avg.
Mountain View, California, United States

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

View All Jobs

Get notified when new jobs are added by Google

Similar Jobs

Google - Software Engineer, Sensing, Perception

Google, United States (On-Site)

Netflix - Research Engineer (L4) - Globalization - Live

Netflix, United States (Remote)

Meta - Software Engineer, Machine Learning

Meta, United States (On-Site)

Neostella - Machine Learning Engineer

Neostella, Colombia (On-Site)

ByteDance - Senior Software Engineer - Code AI/GPT

ByteDance, United States (On-Site)

Whoop - Staff R&D Engineer

Whoop, United States (On-Site)

Intel Corporation - Silicon Hardware Engineering - Intern, Bachelors

Intel Corporation, United States (On-Site)

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Axinous - Staff Full Stack Engineer

Axinous, India (On-Site)

Velotio Technologies - Lead Data Scientist

Velotio Technologies, India (Remote)

Hashlist - Data Scientist

Hashlist, India (Hybrid)

New York Times - Senior Software Engineer, Machine Learning Platform

New York Times, United States (Hybrid)

Intele health - Data Scientist

Intele health, India (Remote)

Meta - Research Scientist, ML H/W-SW Codesign

Meta, United States (On-Site)

Get notifed when new similar jobs are uploaded

Jobs in Mountain View, California, United States

Insomniacs - Lighting Intern - Undergraduate

Insomniacs, United States (On-Site)

Luxoft - Senior Infrastructure Engineer

Luxoft, United States (Remote)

Barbaricum - Technical Program Manager

Barbaricum, United States (On-Site)

Salesforce - Enterprise Account Executive - East

Salesforce, United States (On-Site)

Eleven Labs - Revenue

Eleven Labs, United States (Remote)

Glean - Software Engineer, Fullstack

Glean, United States (On-Site)

Universal Music - Music Director

Universal Music, United States (On-Site)

Alphasense - Manager, FP&A (GTM)

Alphasense, United States (On-Site)

Get notifed when new similar jobs are uploaded

Research & Development Jobs

Get notifed when new similar jobs are uploaded