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Software Engineer II, Machine Learning

Software Engineer II, Machine Learning

1 Hour ago • 1 Years + • Artificial Intelligence

About the job

Summary

As a Software Engineer II, Machine Learning at Google, you'll develop machine learning systems and models powering the Pixel personal agent. Responsibilities include data collection design, data engineering, feature engineering, model training, and evaluation. You'll collaborate with engineers, researchers, and product managers to implement new features. This role requires Android/Pixel application development and staying updated on the latest machine learning techniques. You'll collect, clean, and tune data for model development, maintenance, and evaluation. The position involves proposing, designing, and implementing data collection solutions, as well as designing evaluation frameworks for machine learning models.

7 skills required for this role

Test your skills to join the top 1% applicants for this job

java

javascript

cpp

computer-vision

python

team-player

networking

Must have:

Bachelor's degree or equivalent experience
1+ year software development experience (Python, C++, Java, JavaScript)
Develop Android/Pixel applications
Design and implement data collection solutions
Develop, maintain, and evaluate machine learning models

Good to have:

NLP, LLMs, or Computer Vision experience
Applied ML or ML research experience
Excellent C++ and Python programming skills
Excellent problem-solving skills

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Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

Experience in Natural Language Processing, Large Language Models, or Computer Vision.
Experience in applied machine learning or machine learning research.
Experience in Android Development.
Excellent programming skills in C++ and Python.
Excellent problem-solving skills.
Passionate and respectful team player.

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.

As a Software Engineer, you will be responsible for developing the machine learning system and models that power the Pixel personal agent. This includes tasks such as data collection design, data engineering, feature engineering, model training, and model evaluation. You will work with engineers, researchers, and product managers across Google to design and implement new features for the personal agent.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

Develop applications on Android/Pixel.
Propose, design, and implement data collection solutions.
Design evaluation framework and carry out evaluations of the machine learning models.
Stay up-to-date on the latest machine learning techniques and technologies and apply them to our technical solutions.
Collect, clean, and tune data to develop, maintain, and evaluate machine learning models.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.