Google

Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise

Google • $174K — $252K *
Sunnyvale, CA 94087In-Person
Enterprise Technology
5 - 7 years of experience
3 weeks ago
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field, or equivalent experience.
  • 5 years of software development experience with various programming languages.
  • 2 years of experience with Generative AI technologies like LLMs and RAG.
  • 1 year of familiarity with GenAI concepts such as language modeling and computer vision.

Responsibilities

  • Lead the development of agentic features to boost enterprise productivity.
  • Collaborate on design and code reviews to uphold best practices and standards.
  • Contribute to and adapt documentation based on product updates and user feedback.
  • Diagnose and resolve product or system issues impacting operations and quality.
  • Design and implement GenAI solutions, leveraging machine learning infrastructure.

Benefits

  • Opportunities for professional development and further education.
  • Collaborative work environment with skilled peers.
  • Access to cutting-edge technology and tools.
  • Involvement in innovative projects that shape enterprise solutions.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 5 years of experience in software development with one or more programming languages.
  • 2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.
  • 1 year of experience with GenAI concepts such as language modeling or computer vision.

Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience in machine learning modeling and tech leadership roles.
  • Proficiency in Python, C .
  • Experience building production-grade LLM-based applications and working with Google internal infrastructure.
  • Track record of innovation and critical thinking in solving technical problems.


Responsibilities
  • Lead the technical development of agentic features to transform enterprise productivity.
  • 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, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Design and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.

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
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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