Google Senior Software Engineer, Applied Machine Learning in London, United Kingdom
Minimum Qualifications:
1. Bachelor’s degree or equivalent practical experience.
2. 5 years of experience with software development in C++, Python or Java programming languages, and with data structures/algorithms.
3. 3 years of experience with machine learning algorithms and tools, and 2 years of experience building production quality Machine Learning (ML) systems.
Preferred Qualifications:
1. Master's degree or PhD in Computer Science or a related technical field.
2. Experience with modern Machine Learning (ML) frameworks (e.g., JAX, Pytorch or TensorFlow).
3. Experience with launching applied Machine Learning or Natural Language Processing projects.
As a Software Engineer, you will shape the future of applied Machine Learning (ML) at Google and push the boundaries of what's possible with Generative Artificial Intelligence technologies, leaving a lasting impact on the field. You will build the platform to integrate GenAI-based technologies into Google's suite of consumer-facing products. You will empower developers and researchers with GenAI enablement tools, driving innovation and unlocking the potential of ML across a range of applications, and you will play a pivotal role in building a team to ensure the deployment of GenAI across Google is as easy, economical, and as fast as possible.
The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network. Our teams keep innovation top of mind as we drive towards shaping the future of hyperscale computing. Our organization delivers advanced services at an unprecedented scale. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. We work on operating systems, ML hardware and software, storage, databases, virtual machines, datacenter management, serverless computing, distributed systems, networking, and security. We foster a user-focused culture, emphasizing impactful results and bold innovation.
Key Responsibilities:
1. 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.
2. Build the platform that incorporates fine-tuning, multi-agent systems, prompt engineering, model optimization, etc. into the Google product development lifecycle.
3. Develop and maintain our products, written in C++ and Python, conform with Google-wide coding and testing standards.
4. Design and implement customer requested GenAI features through multiple stages such as requirements gathering, proposing design and building agreement among the key stakeholders, implementing and rolling out to production.
5. Collaborate with stakeholders to identify emerging technology related to GenAI and develop a plan for translating these into practical solutions for Google products.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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