At a Glance
- Tasks: Analyse and enhance search technologies through data analysis and engineering.
- Company: Perplexity, a forward-thinking tech company focused on search quality.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
- Why this job: Join us to shape the future of search technology and make a real impact.
- Qualifications: 4+ years in data analysis, strong coding skills in SQL and Python.
The predicted salary is between 63000 - 77000 £ per year.
Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin.
Responsibilities
- Find and diagnose quality issues in our search pipeline
- Design metrics from scratch to track and measure search quality
- Build datasets for model training, including LLM-as-a-judge labeling pipelines
- Improve search snippet quality and page selection algorithms for indexing
- Design and analyze A/B experiments to validate improvements
Qualifications
- 4+ years of experience as a data analyst or in a related role
- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
- Proficiency with SQL and Python
- Demonstrated hands-on experience with at least one of the following:
- Designing metrics from scratch (not just analyzing existing A/B experiments)
- Building labeling pipelines using LLM-as-a-judge
- Training ML models that shipped to production with measurable metric improvements
- Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals
Preferred Qualifications
- Experience working on search-related products
- Knowledge of statistics and A/B experiment design
- Experience with Apache Spark or Databricks
Member of Technical Staff (Search Quality Analyst) employer: Perplexity
Perplexity is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions directly impact the evolution of cutting-edge search technologies. With a hybrid work model in vibrant cities like Belgrade, London, or Berlin, employees enjoy flexibility alongside opportunities for professional growth and development in a dynamic environment. Join us to be part of a team that values creativity and excellence, while also providing competitive benefits and a supportive atmosphere for personal and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (Search Quality Analyst)
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We think you need these skills to ace Member of Technical Staff (Search Quality Analyst)
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 Perplexity, 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 Perplexity. 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 Perplexity
✨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 Perplexity!
✨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.
