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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...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google

Staff Engineer Senior

GoogleMountain View - On-Site

Posted 1 month ago🏛️ On-SiteSeniorLeadStaff Engineer📍 Mountain View💰 $197,000 - $291,000 / yearly
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Overview

Google is hiring a Staff ML Software Engineer to lead the development of generative AI technologies for search ads. You'll work with C++, machine learning, and natural language processing to optimize ad personalization. This position requires 8+ years of experience in software development.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 8 years of experience in software development. Your background includes at least 5 years of experience developing or launching products within artificial intelligence or machine learning, and you possess a strong understanding of ML design and infrastructure, including model deployment and evaluation. You are proficient in C++ and have experience with Large Language Models (LLM), Natural Language Processing (NLP), or Generative AI. You also have a solid grasp of data structures and algorithms, and you have spent at least 3 years in a technical leadership role, guiding project teams and setting technical direction.

Your experience in a complex, matrixed organization has equipped you with the skills to collaborate effectively across teams. You understand the nuances of working with Google ads or digital advertising platforms, particularly in the context of ads personalization. You are a strong communicator and enjoy coaching and mentoring a distributed team of engineers.

Desirable

A Master's degree or PhD in Engineering, Computer Science, or a related technical field would be a plus. Experience with Google ads or digital advertising ecosystems is also preferred, as is familiarity with optimizing ML infrastructure and developing model optimization strategies.

What you'll do

In this role, you will lead the design and implementation of solutions in specialized ML areas, focusing on generative AI for search ads. You will optimize ML infrastructure and guide the development of model optimization and data processing strategies. Collaborating with cross-functional teams, including Generative AI teams in ads quality and Google DeepMind, you will create and execute on goals and roadmaps to ensure that users feel connected with Generative AI ads. Your responsibilities will include overseeing the deployment of machine learning models, debugging complex systems, and fine-tuning algorithms to enhance performance.

You will also be responsible for mentoring junior engineers, fostering a culture of innovation and collaboration within your team. Your leadership will help shape the technical direction of projects, ensuring that they align with Google's broader objectives in AI and machine learning. You will work closely with product managers and other stakeholders to define project scopes and deliverables, ensuring that all technical requirements are met.

What we offer

At Google, you will be part of a team that is at the forefront of technology, developing next-generation solutions that impact billions of users. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will have access to cutting-edge resources and tools, enabling you to push the boundaries of what is possible in AI and machine learning. Join us in shaping the future of technology and making a difference in the world.

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