Google

Senior Software Engineer, Generative AI, gUP

Google$174K — $253K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of software development experience in Java.
  • 1 year of experience with GenAI techniques, like LLMs and Multi-Modal models.
  • 3 years of experience in testing, maintaining, or launching software products, plus 1 year in software design and architecture.
  • 3 years of experience with ML infrastructure including model deployment and data processing.

Responsibilities

  • Design, develop, test, deploy, and maintain software systems for user feedback and ML-based solutions.
  • Manage project priorities, deadlines, and deliverables and participate in 24x7 support rotation.
  • Collect and analyze data to identify and address recurring problems.
  • Collaborate with Engineering, Product Management, and UX on tasks with minimal executive guidance.
  • Review and provide feedback on code developed by peers to ensure adherence to best practices.

Benefits

  • Comprehensive health and wellness programs.
  • Opportunity for performance-based bonuses.
  • Equity benefits available.
  • Flexible work arrangements to support work-life balance.
  • Access to continuous learning and development resources.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in Java programming language.
  • 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  • 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).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • Experience with software development in one or more programming languages (e.g. C , Java, Python).
  • Experience working with large scale data processing and ML platforms.
  • Experience with quality analysis and improvement using relevant tools (A/B testing, experiment frameworks, data analysis).
  • Excellent problem-solving, critical thinking and investigative skills.
  • Excellent communication and teamwork skills with the ability to collaborate across boundaries.


About the job

In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In gTech Users and Products (gUP), our mission is to advocate for Google's users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) 15% bonus target equity benefits

Responsibilities
  • Design, develop, test, deploy and maintain large software systems for user feedback model serving, Cases AI assistant and other ML based support needs. Prototype and build features and solutions in a fast-moving environment.
  • Manage individual and project priorities, deadlines and deliverables. Be a part of 24x7 support rotation.
  • Collect and analyze data for training, understanding and evaluation to understand larger recurring problems, and solve them.
  • Collaborate closely with Engineering, Product Management, and UX to complete tasks end to end with minimal guidance from executive leads, and influence product requirements.
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).


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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