Research Engineer Gemini Personalization
Research Engineer Gemini Personalization
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Snapshot:
We are the Gemini App team in Google DeepMind building the everyday AI assistant from Google. Be at the forefront of AI innovation with Gemini featuring native multimodality an expansive context window (up to 2 million tokens) and superior performance. Our mission is to empower billions with deeply personalised and helpful products delivering an experience users love.
In this role you will be a part of a team building a personal AI assistant. One that doesnt just answer general questions but understands you tailoring its help to your specific interests passions and curiosities.
About Us:
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The Role:
As a Research Engineer youll play a key role in building the stateoftheart personalized AI assistant on Gemini. Our personalization research encompasses model innovation posttraining refinement advanced evaluation benchmark creation data generation and scalable deployment.
This includes improving the models ability to reason about user information creating robust evaluation frameworks to measure personalization quality and building scalable systems to deliver tailored experiences to a wide user base. A key aspect of the work involves continuous experimentation and refinement to push the boundaries of what a truly personal AI assistant can achieve.
About You:
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems and often change course if our ideas dont work out so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:
- BSc MSc or PhD/DPhil degree in computer science mathematics applied stats machine learning or similar experience working in industry
- Proven knowledge and experience of Python or C
- Deep understanding of machine learning and statistics
- Strong knowledge of algorithm design and data structures
- Proven experience with TensorFlow JAX PyTorch or similar leading deep learning frameworks
- Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformerbased models
- Experience finetuning and adaptation of LLMs (e.g. supervised finetuning RLHF)
- Experience applying and productionizing stateoftheart large visual language and multimodal research into realworld applications
- Experience with user modeling techniques tailored for personalization
- Understanding of personalization metrics and evaluation challenges (e.g. relevance diversity novelty serendipity offline vs. online evaluation)
- Solid understanding of Deep Learning fundamentals including transformer architectures attention mechanisms and optimization techniques
- Software Engineering experience and experience working on largescale ML projects highly desirable
- Experience with data pipelines and techniques for managing processing and utilizing largescale user data while adhering to privacy best practices
- Ability to design and analyze rigorous offline and online (A/B) experiments to validate personalization improvements
- Proven experience working in industry working on projects from proofofconcept through to implementation highly beneficial.
- A passion for Artificial Intelligence
- Excellent communication skills and proven interpersonal skills with a track record of effective collaboration with crossfunctional teams
In addition the following would be an advantage:
- Experience in applying experimental ideas to applied problems
- Cross functional collaboration experience
- Prior experience collaborating with researchers
- Prior experience working with product teams
The US base salary range for this fulltime position is between $166000 $244000 bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Application deadline: 12pm PST Friday 9th May 2025
Note: In the event your application is successful and an offer of employment is made to you any offer of employment will be conditional on the results of a background check performed by a third party acting on our behalf. For more information on how we handle your data please see our Applicant and Candidate Privacy Policy.
At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.
Employment Type
Full Time
