About the job

Job summary

The AI Safety Institute is the first state-backed organisation focused on advanced AI safety for the public interest.  We launched at the AI Safety Summit because we believe taking responsible action on this extraordinary technology requires a capable and empowered group of technical experts within government.

Our staff includes senior alumni from OpenAI, Google DeepMind, start-ups and the UK government, and ML professors from Oxford and Cambridge.  We are now calling on the world’s top technical talent to build the institute from the ground up.  This is a truly unique opportunity to help shape AI safety at an international level.

We have ambitious goals and need to move fast.

Develop and conduct evaluations on advanced AI systems
We will characterise safety-relevant capabilities, understand the safety and security of systems, and assess their societal impacts.

Drive foundational AI safety research
We will launch moonshot research projects and convene world-class external researchers.

Facilitate information exchange
We will establish clear information-sharing channels between the Institute and other national and international actors. These include stakeholders such as policymakers and international partners.

Job description

About the Role

As a Senior Research Scientist at AISI, you will lead Research Scientists and Research Engineers in planning and executing on research directions in foundational AI safety. You’ll lead and contribute to projects  aimed at improving the fundamental safety of advanced AI systems, making novel research contributions that are aimed at informing governance with technical tools on safe AI.

We draw on a wide range of disciplines, and value a diversity of research expertise across our four workstreams. You’ll be primarily associated with one of our research workstreams (please specify in your application which you’re most interested in, details below), but sometimes your work will intersect multiple workstreams:

• Capabilities elicitation & jailbreaking. This workstream consists of research to ensure that AISI can get closer to the “capabilities ceiling” of the models we work with, including development of novel jailbreaks and methods such as “next-gen chain-of-thought" to increase model performance on our evals. 
• AI model explainability & accountability. This workstream focuses on techniques for improving the transparency of model behaviour via e.g. casual reasoning traces.
• Interventions on model behaviour. This workstream will investigate ways of intervening on model behaviour pre- and post-deployment to solve safety issues beyond anecdotal patching, i.e. in ways that will be robust to improved prompting techniques. E.g. via data attribution techniques.
• Rethinking alignment. This workstream consists of developing methods for alignment that go beyond existing state-of-the-art, for example by reliance on formal languages or probabilistic approaches.

You will work under Prof. Yarin Gal, and work closely with your team comprising of multiple Research Scientists, Research Engineers, and Software Engineers, as well as benefit from support from our cross-functional Platform Engineering team. You’ll also collaborate with external topic-level experts, contractors, partner organisations and policy makers to coordinate and build on external research.

Day-to-day, you may:

• Conduct novel research
• Supervise Research Scientists in your team and mentor them
• Design experiments to validate hypotheses about models’ behaviour
• Work with experts to assemble relevant literature or datasets
• Prepare papers for internal or external publication
• Manage external research collaborations
• Prepare a write-up of your research to brief policy makers

The ideal candidate will have the skills and experience that allow them to additionally:

• Design experiments to conduct rigorous and impactful machine learning research
• Analyse and interpret data in ways that meaningfully contribute to research at AISI
• Understand the capabilities and potential impact of advanced AI systems, including large language models
• Keep track of and respond to the fast-moving literature, ensuring that our research is additional to that being conducted elsewhere
• Coordinate closely with research and engineering partners in your team and stakeholders across AISI to design new methods
• Clearly communicate insights from studies to influence research decisions across stakeholders throughout AISI and DSIT

There will be significant scope to contribute to the strategy of your workstream team and to design experiments with set-ups of increasing complexity.

Person specification

For the senior research scientist role, you’ll have conducted ML research, research in a domain relevant to your primary workstream, or research at the intersection of your domain and frontier AI systems.

We expect experts in both ML and a specific domain relevant to one of our workstreams to be rare, so we encourage you to apply no matter which research expertise you’re excited to bring to the institute.

We look for the following skills, experience and attitudes:

• Significant track record of conducting and disseminating rigorous and impactful research
• Significant experience leading work in AI/ML research
• PhD or equivalent research experience in a field related to your workstream, or in machine learning. If you have more work experience, you might be assigned a more senior role in the team
• Experience with large language models, potentially related to prompt engineering, tooling, or fine tuning
• Possess a strong curiosity in technical understanding of AI systems and studying their limitations
• Motivated to conduct research that is not only curiosity driven but also solves concrete open questions in AI safety and has a strong grounding for how research may impact governance and policy making
• Experience of mentoring others in a research setting
• Statistics expertise (e.g., data analysis)
• Good technical and coding skills, e.g. Python
• Strong project management skills and demonstrable experience of teamwork, including building rapport with people from diverse backgrounds

Given the changing nature of the field, it’s most of all important to us to build a team with strong problem-solving skills and a preparedness to acquire any missing knowledge necessary to get the job done.

Owing to the rapid development of advanced AI systems, you will likely be up to date with the latest advancements.

Core requirements

• You should be able to spend at least 4 days per week on working with us
• You should be able to join us for at least 12 months
• You should be able work from our office in London (Whitehall) for parts of the week, but we provide flexibility for remote work

Benefits

Alongside your salary of £105,000, Department for Science, Innovation & Technology contributes £14,771 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.

Things you need to know

Selection process details

Phase Campaign Process

Candidates should note that this is a Phase Campaign which includes four separate waves that runs from 11th February to 9th April. Candidates may submit only one application for any of the four waves within a Phase Campaign.  

For example, if an application were submitted in Phase One, Wave 1, the candidate will no longer be able to submit an application for any of the other waves within Phase One of this specific campaign.  

If a candidate has already applied to an earlier wave within Phase One, any additional applications will be rejected and feedback will not be provided.

The Recruitment Process

We're accepting applications through Phase One, from February 11th to April 9th.  During this time, applications will be reviewed within the four waves as outlined in the timetable below. 

Candidates should be aware that if all available positions are filled by the end of a particular phase/wave, AISI reserves the right to close subsequent waves and/or phases.

Here are the deadlines for each wave:

Waves in Phase One	Start time 23:55	End time 23:55
Wave 1	11th February	27th February
Wave 2	27th February	12th March
Wave 3	12th March	26th March
Wave 4	26th March	9th April

Sift and interview process

Applications will be sifted on the CV and personal statement.

In the event of a large number of applicants, applications will be sifted on the personal statement.

Candidates should expect to go through some or all of the following stages once an application has been submitted:-

Stage 1: Coding Test - To be completed within 72 hours 
Stage 2: Sifting if successful at coding test 
Stage 3: Initial Interview
Stage 4: Research interview 1
Stage 5: Research interview 2 
Stage 6: Senior Civil Servant interview 

Sift and interview dates

Expected Timeline subject to change

Sift dates: w/c 04/03/2024

Interview dates: w/c 11/03/2024

Interview Location: MS Teams.

Candidates are asked to note the above timetable, exercising flexibility through the recruitment and selection process.

If you have any questions about the role or your application, then please send an email to active.campaigns@dsit.gov.uk

Reasonable Adjustment

We are proud to be a disability confident leader and we welcome applications from disabled candidates and candidates with long-term conditions.

We fully support adjustments throughout our recruitment process and we encourage candidates to discuss their adjustment needs by emailing the job contact which can be found under the contact point for applicants section.

We do not have an exhaustive list of adjustments that we support but just some examples include additional time to complete your application form, behaviour questions up to 72 hours prior to interview and having extra time at interview.

If you are experiencing accessibility problems with any attachments on this advert, please contact the email address in the 'Contact point for applicants' section.

If successful and transferring from another Government Department a criminal record check may be carried out.

New entrants are expected to join on the minimum of the pay band.

A location based reserve list of successful candidates will be kept for 12 months. Should another role become available within that period you may be offered this position.

Please note terms and conditions are attached. Please take time to read the document to determine how these may affect you.

Any move to the Department for Science, Innovation and Technology from another employer will mean you can no longer access childcare vouchers. This includes moves between government departments. You may however be eligible for other government schemes, including Tax Free Childcare. Determine your eligibility https://www.childcarechoices.gov.uk

DSIT does not normally offer full home working (i.e. working at home); but we do offer a variety of flexible working options (including occasionally working from home). 

In order to process applications without delay, we will be sending a Criminal Record Check to Disclosure and Barring Service on your behalf.

However, we recognise in exceptional circumstances some candidates will want to send their completed forms direct. If you will be doing this, please advise Government Recruitment Service of your intention by emailing Pre-EmploymentChecks.grs@cabinetoffice.gov.uk stating the job reference number in the subject heading. 

Applicants who are successful at interview will be, as part of pre-employment screening, subject to a check on the Internal Fraud Database (IFD). This check will provide information about employees who have been dismissed for fraud or dishonesty offences. This check also applies to employees who resign or otherwise leave before being dismissed for fraud or dishonesty had their employment continued. Any applicant’s details held on the IFD will be refused employment. 

A candidate is not eligible to apply for a role within the Civil Service if the application is made within a 5 year period following a dismissal for carrying out internal fraud against government.

Nationality Requirements

If you do not meet the standard nationality requirements as detailed below, then we would still encourage you to submit an application.  We may be able to explore other options such as seconding you in from either your current employer or a third party organisation.

 Not meeting the nationality rules set out below should not be seen as an automatic barrier to applying for this role.

Feedback

Candidates should note that they may only apply once for one wave within a phase campaign between 11th February 2024 to 9th April 2024, repeat applications are not permitted from the very beginning of wave 1 to the end of wave 4.  If duplicate applications are submitted then they will be rejected and no feedback will be provided for the duplicate applications.

Feedback will only be provided if you attend an interview or assessment.

Security

Successful candidates must undergo a criminal record check. People working with government assets must complete baseline personnel security standard (opens in new window) checks.

Nationality requirements

This job is broadly open to the following groups:

• UK nationals
• nationals of the Republic of Ireland
• nationals of Commonwealth countries who have the right to work in the UK
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
• nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
• individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
• Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements (opens in a new window)

Working for the Civil Service

The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window). The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.