Senior Researcher, Diffusion & Vision
Posted on May 23, 2026 (about 1 hour ago)
Senior Researcher, Diffusion & Vision
Company Overview:
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. We are backed by world-class investors and already powering partnerships with ambitious teams in AI. Our team is lean, fast-moving, and focused on velocity and impact.
DataLab
DataLab is Protege’s research arm — a team of research scientists focused on the fundamental challenges and open questions regarding data for AI. We bridge the gap between research theory and data deployment to push the frontier forward, publishing on questions like how to quality-control large-scale corpora and how to build evaluation datasets that reflect the real world rather than the leaderboard.
The Role
We are seeking a Senior Researcher focused on diffusion models or vision models to lead the evaluation and optimization of large-scale datasets used to train generative video models. You will build systems, processes, and standards to ensure Protege’s video data is diverse, representative, and ready for production-grade training. You will run targeted evaluations, characterize video assets, and create technical artifacts (metrics, benchmarks, internal scorecards) that define, measure, and communicate the value of our video data.
What you'll do
- Video dataset characterization and metrics: analyze and summarize Protege’s video catalog and maintain clear, up-to-date data scorecards and metrics for key datasets
- Model and data evaluation: design and run targeted evaluations of video models, connect failures to concrete data gaps, and test which data changes improve model performance
- Benchmark and slice design: define and maintain eval sets and slices that reflect real-world video use cases and stress-test models
- External researcher engagement: build and maintain relationships with external researchers and labs to surface emerging video data needs and model pain points
Qualifications
- PhD or equivalent Master’s degree + 4+ years industry experience in machine learning, computer science, statistics, engineering, or a related quantitative field, with a focus on diffusion models or video data
- Proven experience designing and running model evaluations and data analyses (benchmarks, ablations, slice-based analyses)
- Ability to understand data impact on models at various stages of the training stack
- Excellent written and verbal communicator; able to write concise technical docs and explain empirical results clearly
- High ownership and bias toward action; independently scope questions, design experiments, and drive them to decisions
Bonus
- Publications or open-source contributions in data-centric AI or related areas
- Experience developing evaluation frameworks or performance metrics for training data
- Cross-functional collaboration with product, infrastructure, or partnership teams
- Prior work on video generation or understanding models and their datasets or benchmarks
- Experience collaborating with industry or academic labs on video research or data projects
Protege Values
Pass the Loved Ones’ Test: act with integrity and do the right thing.
Always Find a Way: be resourceful and resilient builders who solve hard problems.
Go Fast and Grow Fast: move with urgency, learn quickly, and continuously improve.
Practice Kindness and Candor: communicate directly and respectfully, building trust through honest feedback and genuine care.
Deliver Together: collaboration, accountability, and shared ownership drive success.
Own the Outcome. Hone the Craft.: take pride in work, sweat the details, and continuously raise the bar for excellence.
How to Apply
To apply, click "Apply for this Job" on the posting or visit: https://jobs.ashbyhq.com/protege/a7b8ab72-8e71-4caf-bff9-6b369be41d0f/application
Additional Information
For company information, visit https://www.withprotege.ai/.