Google

Technical Lead, Machine Learning, Google Play

Google$207K — $300K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C, Java, Python, Kotlin, or Go.
  • 5 years of experience testing and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience in AI, ML, Generative AI, or Large Language Models.

Responsibilities

  • Generate ideas to improve AI features based on empirical data.
  • Design and tune Gemini prompts; build infrastructure to measure and enhance AI response quality.
  • Apply computer vision techniques to improve AI image understanding.
  • Conduct side-by-side and live experiments to demonstrate your impact.
  • Collaborate with research and cross-functional teams to share and learn best AI practices.

Benefits

  • Health, dental, and vision insurance.
  • Generous paid time off and parental leave.
  • Retirement plan with matching contributions.
  • Wellness and fitness programs.
  • Access to professional development and learning opportunities.
Full Job Description
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C , Java, Python, Kotlin or Go.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience with one or more of the following domains (e.g., AI, ML, Generative AI, Large Language Model, Personalization, etc.).

Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 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 in Large Language models (LLMs) and Generative AI.


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 Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

The US base salary range for this full-time position is $207,000-$300,000 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 benefits at Google .

Responsibilities
  • Generate ideas to improve AI features based on empirical data.
  • Design and tune Gemini prompts; design and build infrastructure to measure and improve AI response quality.
  • Use computer vision techniques to improve AI image understanding.
  • Run side-by-side and live experiments to showcase your impact.
  • Work with Research and cross-functional partner teams to learn and share the best AI techniques.


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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