At a Glance
- Tasks: Conduct analysis and build evaluation systems to enhance AI model capabilities.
- Company: Join a cutting-edge AI startup with a mission to create open superintelligence.
- Benefits: Top-tier salary, comprehensive health benefits, and generous parental leave.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI by defining how we measure progress.
- Qualifications: Strong skills in statistical analysis and familiarity with LLM evaluation methods.
The predicted salary is between 80000 - 100000 £ per year.
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About The Role
- Conduct critical comparative analysis to advance our understanding of model capabilities.
- Build and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behavior.
- Develop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.
- Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.
- Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data.
About You
- Strong statistical analysis and experimental design skills to rigorously measure model improvements.
- Familiarity with LLM evaluation methodologies: static benchmarks, human preference evals, and/or agentic tasks.
- High agency and thrive in a fast-paced startup environment; bias for impact over process.
- Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.
- Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.
What We Offer
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Member of Technical Staff - Evaluations in London employer: Reflection AI
At Reflection, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our mentorship opportunities and the chance to lead a talented team in a fast-paced environment, all while enjoying top-tier benefits such as unlimited paid time off and comprehensive health coverage. Located in a vibrant area, we offer a unique opportunity to contribute to groundbreaking AI research while ensuring a supportive work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff - Evaluations in London
✨Get Involved in Data Science Meetups
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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 Reflection AI.
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We think you need these skills to ace Member of Technical Staff - Evaluations 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 Reflection AI, 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 Reflection AI. 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 Reflection AI
✨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 Reflection AI!
✨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.
