Machine Learning Engineer Gemini Safety
Machine Learning Engineer Gemini Safety
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1 Vacancy
Job Description
Snapshot
You are an experienced Machine Learning Engineer with a strong engineering and research background who is excited about improving safety and alignment of the Gemini enduser product delivering stateofthe art language models to our users.
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
Our team works on developing safe aligned and helpful Gemini models across all modalities (text images audio) as well as novel ways of evaluating them through superhuman autoraters or automated red teaming.
To that end we are advancing the stateoftheart on the entire posttraining pipeline. This includes innovations in RLHF/RL*F tailored to safety and alignment novel and scalable ways of evaluating models to find weaknesses as well as improvements in model understanding to guide future research.
We are looking for a Senior Machine Learning Engineer excited to push the state of the art in these areas.
Key responsibilities
- Apply and innovate on stateoftheart modeling techniques with the goal of reducing safety violations while increasing human alignment using posttraining approaches (e.g. SFT RLHF/RL*F).
- Collaborate with peers and crossfunctional research teams on applying stateoftheart machine learning approaches to LLMbased products.
- Propose and quickly prototype novel ideas and implement advances in Geminis production systems.
- Have bias for action: our team operates in a highreward and fastpaced environment.
- In summary: we are looking for a Machine Learning Engineer with strong intuition and the ability to drive ambiguous projects endtoend to push the boundaries of Safety and Alignment on LLMs.
About you
In order to set you up for success as a machine learningfocused software engineer at Google DeepMind we look for the following skills and experience:
- MSc degree in computer science or machine learning or similar experience working in industry.
- 3 years of experience with ML modeling and generative AI working with data model evaluations and quality iterations.
- Proven knowledge and experience of Python one or several machine learning frameworks (Jax TensorFlow or PyTorch) as well as algorithms and data structures.
- Ability to grow in highstakes highvisibility environments.
In addition the following would be an advantage:
- PhD in Machine Learning or a related field.
- Experience with training and optimizing large language models.
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 opportunities 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.
Application deadline: 12pm GMT Friday April 16th 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.
Employment Type
Full Time
