Responsibilities
- Join Prolific's Integrity team, which protects the platform from fraud and misuse.
- Focus on verification, particularly identifying and validating high quality expert participants.
- Work with other teams to find, validate and model useful signals for participant quality.
- Help define the right problems to solve, not just execute against a fixed brief.
- Turn promising approaches into production ready solutions.
- Spot problems worth solving and start on them, rather than waiting to be assigned.
- Collaborate with others.
Requirements
- Deep expertise in one applied ML, statistics, or data science specialism. Examples could be risk modelling, LLM detection, and reinforcement learning, but any area of genuine depth counts.
- Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches.
- 3+ years applying ML, AI research, or data science to real problems.
- Python skills sufficient to build, test, and iterate on working prototypes independently.
- Able to take a loosely defined product or customer problem and turn it into clear hypotheses, experiments, and metrics.
- Must be comfortable working on ambiguous problems, and suggesting solutions rather than waiting to be told exactly what to do.
Nice to Have
- An MSc or PhD in Computer Science, Maths, Statistics, ML, or a related field — or equivalent knowledge gained another way.
- Experience working alongside product and engineering teams.
Work Arrangement
Remote (Worldwide)
Additional Information
- Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research.
- Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.
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