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Snapshot
You are an experienced Software Engineer with a strong machine learning background who is excited about improving the quality and factual accuracy of the “Gemini” end-user product, delivering state-of-the art language models to our users.
About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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 is working on improving the accuracy and factuality of responses generated by Gemini (post-trained) models, both standalone and in Retrieval Augmented Generation (RAG) settings.
We hillclimb on both the quality of RAG backends, and we build state-of-the-art language models through a variety of model training and optimization methods (Supervised Fine Tuning, Reinforcement Learning from Human Feedback, …). The team is responsible for managing data quality, model building, quality evaluation, quality monitoring, and tuning the quality of RAG backends.
We are looking for a senior software engineer with a strong ML background, working with us on making the Gemini end-user product more factual.
Key responsibilities
- Leverage model training strategies like Supervised Fine Tuning (SFT) and preference-based approaches (e.g. Reinforcement Learning from Human Feedback, Identity Preference Optimization, …) to improve the quality of language models.
- Hillclimb on the Retrieval-augmented-generation (RAG) approaches to improve the accuracy of language model responses.
- Collaborate with cross-functional and Research teams on applying state-of-the-art machine learning approaches to LLM-based products.
About you
In order to set you up for success as a machine learning-focused software engineer at Google DeepMind, we look for the following skills and experience:
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
In addition, the following would be an advantage:
- PhD in Machine Learning or a related field.
- Experience with training and optimizing large language models.
Application deadline: 12pm GMT Friday February 21th 2025
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Top Skills
What We Do
We’re 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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
