At a Glance
- Tasks: Research and build AI cognitive architectures for realistic synthetic populations.
- Company: Electric Twin, a pioneering AI company in London with strong backing.
- Benefits: Competitive salary, equity options, and collaboration with top academic leaders.
- Other info: Dynamic role with opportunities to publish research and shape the future of AI.
- Why this job: Join a unique project solving a $90B market research challenge with cutting-edge technology.
- Qualifications: 7+ years engineering experience, hands-on with LLMs, and strong research background.
The predicted salary is between 70000 - 120000 £ per year.
Electric Twin is a London-based AI company that has raised $14M from Atomico and LocalGlobe to build synthetic populations for behavioral prediction. Founded by a former Chief Adviser to the Prime Minister and a military commander, they use LLMs to simulate human responses for global brands with 95% accuracy.
You will research and build the cognitive architectures that bring AI agents to life, balancing behavioral science with backend engineering. Working within the Science team, you'll design memory systems and decision‑making frameworks to create realistic synthetic populations. This is a high‑impact role bridging the gap between LLM research and production‑scale infrastructure.
Why this role is remarkable:
- Work on a unique product that uses LLMs to solve the $90B market research problem, achieving 10,000x faster insights than traditional methods.
- Backed by heavyweight investors including Atomico, LocalGlobe, and angels like Marc Andreessen and the CTO of Slack.
- Direct collaboration with academic leaders from the London School of Economics to publish research and define the future of agentic modeling.
What You Will Do:
- Design and run systematic experiments to evaluate synthetic agent behavior and validate performance against real‑world human data sets.
- Build sophisticated cognitive systems using advanced LLM techniques like chain‑of‑thought prompting, RAG architectures, and multi‑agent tool use.
- Implement robust memory and personality frameworks that ensure AI agents maintain consistent demographics and behavioral patterns across interactions.
The ideal candidate:
- Has over 7 years of engineering experience with at least 1 year hands‑on with LLMs, production RAG, and agentic workflows.
- Possesses a strong research background in quantitative fields like computational social science, physics, or cognitive modeling to simulate human systems.
- Proficient in Python and backend frameworks like FastAPI, with the ability to take complex AI prototypes into scalable production environments.
Research Engineer (£70k–£120k + Equity) at Electric Twin in London employer: Jack & Jill
Electric Twin is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets impact. With competitive salaries and equity options, employees are encouraged to grow through direct collaboration with leading academics and access to cutting-edge research opportunities. The company's commitment to fostering a culture of creativity and excellence makes it an ideal place for those looking to make a meaningful contribution in the AI field.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer (£70k–£120k + Equity) at Electric Twin in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jack & Jill!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Engineer (£70k–£120k + Equity) at Electric Twin at Jack & Jill.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jack & Jill.
✨Apply Directly through Our Website
When you find a suitable opening like Research Engineer (£70k–£120k + Equity) at Electric Twin at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Engineer (£70k–£120k + Equity) at Electric Twin in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.