AI Research Scientist. The role, the market signal, and how to build it in your org.
Pushes the model frontier: novel architectures, evals, fine-tuning research. Distinct from the AI Engineer who ships; the researcher invents and proves what the builders then deploy.
149 postings · 96 distinct titles · from 260,470 real job postings · see the live data →
What the postings ask this role to do
2,239 tasks extracted from real AI Research Scientist job descriptions, classified Automate / Augment / Human-only. Only 1.2% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.
- Process and manage datasets.
- Label data for model training.
- Prepare data for model training and evaluation.
- Build ai foundation models through all phases of development, from design through training, evaluation, validation, and implementation.
- Build large deep learning models for language, images, events, or graphs.
- Build ai foundation models through design, training, evaluation, validation, and implementation phases.
- Deliver libraries, platform-level code, or solution-level code to existing products.
- Conduct applied research to advance the latest ai developments into customer experiences.
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver ai-powered products that change how customers interact with their money.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
- Engage in high impact applied research to take the latest ai developments and push them into the next generation of customer experiences.
- Develop talent within the team and beyond.
- Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver ai-powered products.
From the market's version of this role to your version of it
Compose your org's AI Research Scientist job description
Start from the tasks real postings ask for, keep the ones that match your operation, add what is specific to you. The tasks carry their AI classification, so the JD you take away already says what AI runs and what stays with people.
Start with the work, not the org chart.
Run the audit on one operation and see what this role would own first.