Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind
Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
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 machine learning algorithms and tools (e.g., TensorFlow), recommender systems, deep learning, or personalization. 3 years of experience with software development in either of these programming languages: Python or C++.
Preferred qualifications
Master's degree or PhD in Computer Science or related technical field. 1 year of experience in a technical leadership role. Experience developing accessible technologies. Experience in Natural Language Processing (NLP), Large Language Models (LLMs) and Generative AI. About the job At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes.
As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots.
To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. We are the Gemini App team at Google DeepMind, building Google's next-generation AI assistant. Stay at the forefront of innovation with Gemini, which features native multimodality, an expansive context window of up to 2 million tokens, and excellent performance.
Our mission is to empower billions of people by providing deeply personalized and helpful products. In this role, you will help build a personal AI assistant tailored to the unique interests, passions, and curiosities of every individual. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
More jobs at Alphabet
Business Data Scientist, Google Analytics
Mountain View, CA, USA
Data Engineer, Merchant Shopping
Mountain View, CA, USA
Data Engineer, Technical Solutions, Geo
Mountain View, CA, USA
Data Engineering Manager
Mountain View, CA, USA
Post-Training Technical Program Manager, Data Governance, DeepMind
Mountain View, CA, USA
Similar jobs at other companies
Research Intern - Machine Learning for Biology and Healthcare
Microsoft · United States, Massachusetts, Cambridge
Research Intern - Machine Learning and Statistics
Microsoft · United States, Massachusetts, Cambridge, Washington, Redmond
Senior Machine Learning Engineer
CVS Health · New York, NY
A/AI Machine Learning Engineer
Lockheed Martin · Manassas, VA
Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW )
Qualcomm · San Diego, California, United States of America