Google

Senior Software Engineer, AI/ML, Youtube Ads Creative Optimization

Google • $174K — $252K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience in software development across programming languages.
  • 3 years of experience in testing, maintaining, or launching software products, with 1 year in software design and architecture.
  • 3 years of experience in ML infrastructure, including model deployment and evaluation.
  • 3 years of experience in building and productionizing machine learning models, including deep learning or reinforcement learning.

Responsibilities

  • Write and test code for product or system development.
  • Collaborate with peers through design and code reviews to uphold best practices.
  • Contribute to and adapt documentation or educational content based on updates and feedback.
  • Triage and debug product or system issues by analyzing their sources and impacts.
  • Design and implement solutions in specialized ML areas, leveraging infrastructure expertise.

Benefits

  • Opportunity for in-person collaboration and engagement with teams.
  • Access to state-of-the-art technology and resources in machine learning.
  • Participation in a diverse and inclusive workplace culture.
  • Opportunities for professional growth and technical leadership roles.
  • Engagement with cutting-edge projects in personalized technology and advertising systems.
Full Job Description
info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 3 years of experience building and productionizing machine learning models, with experience in deep learning or reinforcement learning.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with ML frameworks (e.g., TensorFlow, JAX) and production ML platforms (e.g., TFX, AdBrain).
  • Experience with large-scale data processing and distributed systems.
  • Familiarity with online advertising systems, creative optimization, personalization, or recommender systems.


Responsibilities
  • Write and test product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.


Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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