At a Glance
- Tasks: Research and develop systems to ensure AI model safety and monitor for misuse.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Collaborative environment with diverse learning opportunities and career pathways.
- Other info: Fast-paced team dedicated to solving complex global challenges.
- Why this job: Make a real impact in AI safety and ethics while pushing technological boundaries.
- Qualifications: PhD in Computer Science or related field; experience in generative AI and coding.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is collaborating with Google to connect them with exceptional professionals 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.
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
- Ph D in Computer Science, a related field, or equivalent practical experience.
- Experience in the domain area of generative AI and Large Language Models (LLM).
- Experience building and shipping technical products.
- 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 highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling.
- Proven ability in approaching new research questions and implementing technical solutions for them at scale.
- Ability to use AI every day to build and find ways to push the frontier of model capabilities to accelerate work.
Responsibilities
- Build classifiers and 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 wider safety team.
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Research Scientist, Safety Oversight, DeepMind employer: hackajob
At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.
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We think this is how you could land Research Scientist, Safety Oversight, DeepMind
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We think you need these skills to ace Research Scientist, Safety Oversight, DeepMind
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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