Senior Software Engineer, Android

Google; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in London is seeking a Software Engineer to develop next-generation technologies focused on user protection from malware. The role involves significant responsibilities, including writing and testing software, maintaining pipelines for ML model deployment, and working with cutting-edge technologies in a collaborative environment. The ideal candidate has robust experience in software development and machine learning, along with strong programming skills in Python and Kotlin.

Qualifications

• 5 years of software development experience in one or more programming languages.
• Proven experience with ML infrastructure including model deployment and evaluation.
• 2 years of experience in Machine Learning or Artificial Intelligence.

Responsibilities

• Write and test product or system development code.
• Triage product or system issues and debug them.
• Create and maintain the pipeline for model training and deployment.

Skills

Software development

Machine Learning

Python

Kotlin

Data structures/algorithms

Education

Bachelor's degree or equivalent experience

Tools

TensorFlow Lite

Job description

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Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 2 years of commercial experience in Machine Learning or Artificial Intelligence.
• Experience programming in Python and Kotlin.

Preferred qualifications:

• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Our team's mission is to protect users from Android malware. Since Android users can install apps from other sources beyond the Play store, our team focuses on analyzing apps that Google has never seen before and preventing them from being installed or preventing them from doing harm to users. We do all of this mostly on the user's device itself to protect users while maintaining user privacy.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

• Write and test product or system development code.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Create high precision/recall TensorFlow Lite (TFLite) models for Android malware classification.
• Create and maintain the pipeline for model training and deployment.
• Maintain client side code to enable the models to be used on the user device to detect malware.