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Jobs/Senior Researcher Role/protege - Senior Researcher - Diffusion and Vision Research
protege

protege - Senior Researcher - Diffusion and Vision Research

United States1mo ago
RemoteSeniorNAArtificial IntelligenceSenior ResearcherCross-functional CollaborationGo

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Requirements

• 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; you independently scope questions, design experiments, and drive them to decisions • 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 • Pass the Loved Ones’ Test • We act with integrity and do the right thing — especially when it’s hard and no one is watching. • Always Find a Way • We are resourceful, resilient builders who solve hard problems and push through obstacles. • Go Fast and Grow Fast • Velocity matters. We move with urgency, learn quickly, and continuously improve as individuals and as a company. • Practice Kindness and Candor • We communicate directly and respectfully, building trust through honest feedback and genuine care for one another. • Deliver Together • We win as one team. Collaboration, accountability, and shared ownership drive our success. • Own the Outcome. Hone the Craft. • We take pride in our work, sweat the details, and continuously raise the bar for excellence.

Responsibilities

• 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 actually 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 in meaningful ways • External researcher engagement: Build and maintain relationships with external researchers and labs to surface emerging video data needs and model pain points

Benefits

• Pre-seed/seed-stage startup • Series A or B startup • Series C or D startup • Series E+ startup • Protege would be my first startup • or drag and drop here • In 2-3 sentences, please explain how your experience aligns well with the role

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