Bachelor's degree or equivalent practical experience.
5 years of software development experience in one or more programming languages.
3 years of experience in testing, maintaining, or launching software products, with 1 year in software design and architecture.
3 years of experience with machine learning algorithms and tools (e.g., TensorFlow).
3 years of software development experience in Python or C.
Responsibilities
Design, prototype, and build scalable user-facing personalization features on the Gemini App stack.
Analyze user feedback and logs to identify personalization quality issues and opportunities.
Implement targeted quality improvements through fine-tuning or prompting.
Develop evaluation techniques to assess and enhance personalization quality.
Collaborate with research scientists and cross-functional partners to meet organizational goals.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Retirement savings plans with company matching.
Access to professional development resources and training.
Opportunities for career advancement within a leading tech company.
Full 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.
Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
Perform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.
Propose and implement targeted quality improvements via fine-tuning or prompting.
Develop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality.
Partner closely with research scientists, engineers, and cross-functional partners (product and program managers) to advance the business goals of the organization.
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.
