Staff Software Engineer, Machine Learning

1 Month ago • 8-13 Years • Artificial Intelligence • $197,000 PA - $291,000 PA

Job Summary

Job Description

Google seeks a Staff Software Engineer, Machine Learning to lead high-impact projects, coach engineering teams, manage project priorities, and develop large-scale software solutions. Responsibilities include designing, developing, testing, deploying, maintaining, and enhancing these solutions. The ideal candidate has 8+ years of software development experience (Python, C++, Java), 5+ years launching software products, and expertise in machine learning, computer vision, and AI/deep learning. Experience with LLMs is preferred. The role involves working within Google Photos, a high-profile product.
Must have:
  • 8+ years software development experience
  • 5+ years launching software products
  • Machine learning, computer vision expertise
  • AI/Deep learning experience
  • Technical leadership skills
Good to have:
  • Master's/PhD in related field
  • Technical leadership experience
  • Experience in complex organizations
  • LLM deployment, fine-tuning, training
  • Applied ML/NLP/LLM project experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java).
  • 5 years of experience testing, and launching software products.
  • Experience with machine learning computer vision algorithm development and tools (e.g., Tensorflow, Flume, Machine Learning Libraries), Artificial Intelligence, Deep Learning.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with LLM deployment, fine tuning, training, prompt engineering.
  • Experience launching applied ML, NLP or LLM projects.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.

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