Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Google LLC; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google DeepMind invites applications for a Research Engineer specializing in machine learning and personalization for the Gemini App. The role focuses on building scalable, user-facing personalization features within the Gemini App stack and collaborating with research scientists, engineers, and cross-functional partners to advance our mission.

You will work on data-driven evaluation, model fine-tuning, and developing robust testing methodologies to improve personalization quality across diverse

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++.

Responsibilities

• 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.

Skills

Software development

Machine learning

Python

C++

NLP/LLMs/Generative AI

Recommender systems

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS or related field

Tools

TensorFlow

Job description

Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

Share Research Engineer, Machine Learning, GeminiApp Personalization, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA ; San Francisco, CA, USA

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA.

• 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 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.