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About the job
Job summary
Summary
The AI Safety Institute is seeking skilled Software Engineers to build our platform for the evaluation of next-generation frontier AI systems.
Our platform is at the core of our mission: working with the wider Platform Engineering Team and diverse scientists and engineers, you will be integral to building out a stable, accessible and secure platform to host world-leading evals for AI safety. This position offers a unique opportunity to design parts of a world-first platform as part of an organisation that is a unique and fast-growing experiment in AI research and governance.
The AI Safety Institute
The AI Safety Institute is the first state-backed organisation focused on frontier 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, startups 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. Our top priorities are to:
- 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 policymakers, international partners, private companies, academia, civil society, and the broader public.
Job description
The role
Our Platform Engineering team is enabling our core work of evaluating cutting edge Frontier AI Systems. This requires a mix of skills: Creating expert interfaces and highly accessible red-teaming frontends, providing fast and secure inference channels for internal and external models, as well as ML ops capabilities for hosting and fine-tuning our own models.
This is a cross-functional team that collaborates closely with scientists, domain experts, and research engineers to develop brand new evaluation tools that leverage emerging research, while maintaining high levels of privacy and security integrity.
We will be working with a mixture of our own custom and open-source evaluation, analysis and visualisation frameworks. While much of our work will require prototyping and proving out completely new approaches, our expectation is to ultimately deliver a rock-solid core platform that the rest of AISI can depend on.
You will be expected to bring your own experience and opinions when it comes to software architecture, and the design of the user-facing parts of our evaluations platform.
On any given day you will be interacting with researchers, research engineers, UX designers or our operations team to define requirements, turn those requirements into designs, prototypes or production code in collaboration with other engineers, and make sure that our platform is bug-free, stable and covered with a solid amounts of tests to withstand the ever-increasing evaluation traffic. All while ensuring privacy and security requirements of the highest standards.
Person specification
You will needexperience in one or more of the following areas:
- Frontend or Tools Development
- Backend / API Design
- Dev Ops / ML Ops / ML Infrastructure
- Privacy and Security Engineering
- Engineering Management & Leadership
We welcome applications from candidates who are generalists.
This role may be a great fit if you:
- Have substantial experience in building software systems to meet user requirements, managing increasing scale, and upholding high privacy and security standards.
- Have led or been a significant contributor to relevant software projects, demonstrating cross-functional collaboration skills.
- Deeply care about the user experience of a diverse range of users, from machine learning researchers to domain experts, to wide and diverse groups of human evaluators.
- Build tools to accelerate not just users' but also your own workflows whenever off-the-shelf solutions are not readily available or good enough.
- Work independently and in a self-directed way, thriving in a constantly changing environment and a steadily growing team, while figuring out the best way to solve a particular problem.
- Bring your own voice and experience but also an eagerness to support your colleagues, being ready to do whatever is necessary for the team’s success.
- Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.
Machine Learning
- We do not require you to have extensive expertise with AI Foundation Models. Familiarity with training, fine-tuning and running inference on cutting-edge LLMs or diffusion models will be helpful but not required.
- While we are hiring specifically for our Platform Engineering team, you will still have opportunities to embed with and work closely with our Research and Evaluation teams if this fits your interests and the needs of our projects.
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
The Department for Science, Innovation and Technology offers a competitive mix of benefits including:
- A culture of flexible working, such as job sharing, homeworking and compressed hours.
- Automatic enrolment into the Civil Service Pension Scheme, with an average employer contribution of 27% of the base salary.
- A minimum of 25 days of paid annual leave, increasing by 1 day per year up to a maximum of 30.
- An extensive range of learning & professional development opportunities, which all staff are actively encouraged to pursue.
- Access to a range of retail, travel and lifestyle employee discounts.
- A hybrid office/home based working model where staff will spend a norm of 40-60% of their time in the office (minimum of 40%) over a month with flex dependent on balancing business and individual need.
Things you need to know
Selection process details
Please apply with a copy of your CV and a personal statement (500 word limit) setting out your answers to the questions below:
- Why are you interested in joining the AISI right now?
- What are the most important technical projects UK government needs to undertake within the next few months to advance AI Safety?
- What do you want to be doing to drive those projects forward?
- Is there anything else about your skills, experience or background you’d like us to be aware of?
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 48 hours
Stage 2:- Sifting if successful at coding test
Stage 3:- Initial Interview
Stage 4:- Pre Interview take home test
Stage 5:- Formal interview and review of take home test
Stage 6:- Third stage interview
Stage 7:- Senior Civil Servant interview
Sift and interview dates
Expected Timelinesubject to change
Sift dates: w/c 29/01/2024
Interview dates: w/c 05/02/2024
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 aisi-talentrecruitment@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.
Feedback
Feedback will only be provided if you attend an interview or assessment.
Security
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
Working for the Civil Service
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).
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