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Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

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Google

Machine Learning Engineer Senior

GoogleMountain View - On-Site

Posted 2w ago🏛️ On-SiteSeniorMachine Learning Engineer📍 Mountain View💰 $248,000 - $349,000 / yearly
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Overview

Google is hiring a Senior Staff Software Engineer for ML Data Quality Infrastructure to lead technical project strategy and work with machine learning infrastructure. You'll utilize skills in Python, TensorFlow, and Kubernetes to enhance model capabilities. This position requires 8 years of software development experience.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 8 years of experience in software development. With 7 years of experience leading technical project strategy and ML design, you are well-versed in working with ML infrastructure, including model deployment, evaluation, and data processing. You possess 5 years of experience in specialized ML fields such as speech/audio technology or reinforcement learning, showcasing your depth of knowledge in the domain.

Your expertise extends to design and architecture, as well as testing and launching software products. You have a passion for technology ideation and development, particularly in cross-platform shared code. Your understanding of ML systems and infrastructure for production allows you to effectively engage with both customers and engineers, ensuring that the solutions you create meet their needs.

You are knowledgeable about GenAI model development workflows, including post-training and product fine-tuning, and you are eager to tackle the technical challenges presented by the evolving field of Generative AI. Your ability to interact with partner model-quality teams in CloudAI demonstrates your collaborative spirit and commitment to driving improvements in model capabilities through data.

Desirable

Experience in ideation of technology and a passion for development are highly valued. Familiarity with multimodal and generative media will set you apart as a candidate who can contribute to innovative solutions in the field.

What you'll do

In this role, you will address the technical challenges of Generative AI, working to create solutions that enhance model capabilities. You will interact with various partner teams in AI-data and customer teams, driving improvements in GenAI models through a focus on data quality and model capability enhancements. Your responsibilities will include leading technical project strategies, overseeing ML design, and ensuring the successful deployment and evaluation of models.

You will collaborate with cross-functional teams to ensure that the infrastructure supports the needs of Google's products, which handle information at massive scale. Your work will directly impact how billions of users connect, explore, and interact with information and one another. You will also be involved in debugging and fine-tuning models, ensuring that they perform optimally in production environments.

What we offer

At Google, you will be part of a team that is dedicated to developing next-generation technologies. You will have the opportunity to work on projects that extend well beyond web search, tackling challenges in distributed computing, large-scale system design, and artificial intelligence. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

You will be supported in your professional growth and development, with opportunities to engage in innovative projects that push the boundaries of technology. Join us in shaping the future of how users interact with information and each other, and be part of a culture that fosters creativity and collaboration.

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