Senior Multimodal ML Research Engineer

Origin Lab

Los Angeles (CA)

On-site

USD 180,000 - 280,000

Full time

14 days+

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Job summary

Origin Lab is seeking a senior, hands-on research hybrid role combining ML engineering and scientific inquiry. You will work with a multimodal data corpus, test models across architectures, reproduce findings, and publish the strongest results with well-maintained checkpoints and evaluation harnesses.

You will liaise with academic labs and private model makers to run studies our data enables, and guide cross-functional teams from dataset design to strategic outcomes.

Qualifications

  • Hands-on experience training, testing, and using video and multimodal models.
  • Generalist across ML engineering, research science, and data science.
  • Rigorous experimental design with preregistered endpoints and kill criteria.
  • Fluency with open-weights ecosystem and Hugging Face tooling.

Responsibilities

  • Choose what experiments, what models, and what data to run.
  • Demonstrate knowledge across many models and quantify data performance.
  • Reproduce published results on our data and publish the strongest findings with clean checkpoints and released evaluation harnesses.
  • Own and liaise with research partnerships with academic labs and private model makers.
  • Work cross-functionally: translate business needs into datasets and strategy.
  • Publish: design short and long-term publication strategies.

Skills

Video and multimodal models
ML engineering
Data wrangling
Experiment design
Open-weights ecosystem
PyTorch
Distributed training
Reproducibility

Tools

Hugging Face
safetensors
Experiment tracking
Open model landscape

Job description

Origin Lab is seeking a senior, hands-on research hybrid role combining ML engineering and scientific inquiry. You will work with a multimodal data corpus, test models across architectures, reproduce findings, and publish the strongest results with well-maintained checkpoints and evaluation harnesses.

You will liaise with academic labs and private model makers to run studies our data enables, and guide cross-functional teams from dataset design to strategic outcomes.

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