At a Glance
- Tasks: Build AI safety systems and monitor model performance to ensure public benefit.
- Company: Join Google DeepMind, a leader in AI innovation and safety.
- Benefits: Competitive salary, diverse learning opportunities, and a collaborative work environment.
- Other info: Fast-paced team with excellent career growth and interdisciplinary collaboration.
- Why this job: Make a real impact on AI safety and ethics for billions of users.
- Qualifications: Bachelor's degree and experience in generative AI or large language models.
The predicted salary is between 59400 - 72600 £ per year.
hackajob is partnering directly with Google to hire for this role.
We aim to turn production data into intelligence on the safety of deployed AI models.
Safety Oversight is a new team tasked with using large-scale production traffic and a variety of automated evaluation methods to monitor the safety and alignment of deployed models.
Our work will ensure we measure the real-world efficacy of our safety stack-both of in-model safety training and out-of-model safety mitigations to ensure we are effective in our goal of deploying safe models that are used for widespread public benefit.
The Safety Oversight team sits within the Gen AI safety organization and is accountable for ensuring that when a model safety issue occurs in production, or when a user is misusing our model at scale, we detect and understand it, so the safety risk can be rapidly mitigated.
We will collaborate closely with teams working on safety training and evaluation for Gemini and Gen Media models.
The Generative AI (Gen A)I Safety team operates in a fast-paced, highly collaborative environment.
We take the possibility of tangibly dangerous model capabilities seriously as AI advances, and we believe that proactive monitoring and deployment-time oversight are critical for safe AI development.
Artificial intelligence will be one of humanity's most transformative inventions.
At Google Deep Mind, 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.
Minimum qualifications: Bachelor's degree or equivalent practical experience.
3 years of experience building and shipping technical products.
Experience in the domain area of generative AI and Large Language Models (LLMs).
Preferred qualifications: Master's degree or Ph D in Engineering, Computer Science, or a related technical field.
3 years of experience developing code, running experiments and analyses collaboratively with coding agents.
Experience building large-scale, highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling.
Ability to use AI every day to build and find ways to push the frontier of model capabilities to accelerate work.
Ability to approach new research questions and implement technical solutions for them.
Responsibilities: Build classifiers and large-scale data pipelines to detect model misbehavior and misuse end-to-end.
Research and develop cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors.
Think critically about novel methods for monitoring using model activations, actions, chains-of-thought and final answers.
Collaborate closely with infrastructure teams and data scientists to scale your work and regularly share results with the wider safety team.
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Research Engineer, Safety Oversight, DeepMind in London employer: All The Top Bananas
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Research Engineer in Safety Oversight, you'll have the unique opportunity to contribute to groundbreaking AI safety initiatives while working alongside some of the brightest minds in the field. Our commitment to employee growth is reflected in our diverse learning opportunities and varied career pathways, ensuring that your contributions lead to meaningful advancements in technology for the public good.
