Member of Technical Staff, Applied Research
San Francisco$150k - $350kFull-timePosted 10mo ago
About the role
Role focused on training and evaluating multimodal models to understand how data shapes capabilities, with end-to-end ownership of research experiments, training systems, and data-driven improvements to curation pipelines.
Responsibilities
- Train and post-train models for video generation and multimodal understanding.
- Design controlled experiments to measure how data selection, mixtures, and supervision affect model capabilities.
- Build evaluations that reveal specific model weaknesses, using quantitative metrics and human judgment.
- Develop reliable training infrastructure, including distributed training, efficient data loading, checkpointing, and experiment tracking.
- Turn research findings into improvements in data curation pipelines and products.
- Collaborate with research and engineering teams internally and at partner labs to define meaningful problems and communicate results.
Qualifications
- 2+ years of experience in machine learning research or engineering, with hands-on experience training or fine-tuning deep learning models.
- Strong Python and PyTorch skills, including the ability to implement, debug, and modify model training code.
- Experience designing experiments, establishing baselines, and evaluating results critically.
- Familiarity with modern generative or multimodal architectures, such as diffusion models or transformers.
- Comfortable working with large datasets and diagnosing training bottlenecks, instability, and data quality issues.
- Able to turn ambiguous research questions into concrete experiments and maintainable systems.
- Strong communication skills and the ability to explain findings, tradeoffs, and uncertainty clearly.
Skills
Required:Machine Learning ResearchPythonPyTorchExperiment DesignMultimodal / Generative ModelsData Quality & Training Diagnostics
Benefits
- 401k + Full Health Insurance
- Breakfast, Lunch, and Dinner covered and your choice of snacks
- Ubers covered home
Last updated Sep 16, 2026. Interested? Apply on the company site.
About Sieve
Video datasets for frontier AI
High quality video data for AI applications.
Video GenerationHuman AvatarsWorld Models
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