Senior Applied Scientist, Supply

Overview

In this Applied Scientist role, you design and prototype AI/ML methods to improve data quality, scale human judgment, and support rigorous evaluation workflows. You will tackle practical problems such as quality modelling, judgment aggregation, and reliability testing, turning ambiguous challenges into actionable methodologies. You will collaborate with product and engineering to deliver scalable platform capabilities and communicate uncertainties clearly across teams. This is a hands-on, impact-driven role focused on real-world applicability rather than pure research. Join a mission-driven team at the forefront of human-centric AI data infrastructure to shape robust AI systems.

Pay / Benefits

• competitive salary
• remote working
• benefits
• impactful, mission-driven culture

Responsibilities

• Prototype AI/ML methods to improve human data quality, judgement aggregation, and AI evaluation workflows
• Design experiments, benchmarks, and reliability tests to measure improvements in quality, efficiency, or customer outcomes
• Apply classical ML, statistics, LLMs, and agentic techniques for practical value
• Use modern AI tools to accelerate prototyping, experimentation, and iteration
• Partner with product and engineering to translate methods into scalable platform capabilities
• Communicate technical assumptions, trade-offs, and recommendations across technical and non-technical audiences

Key requirements

• PhD or MSc in Computer Science, Mathematics, Statistics, Machine Learning, or a related field
• 3+ years of applied ML, AI research, or data science experience with real-world impact
• Experience with human-in-the-loop AI systems, including RLHF, annotation pipelines, data quality modelling, judgement aggregation, benchmarks, or AI evaluation

• Strong cross-functional communication
• Problem framing and hypothesis testing
• Clear and concise technical communication
• Python
• classical ML
• statistics

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