World Labs
Research Engineer (Scaling Multimodal Data)
San Francisco
Sponsorship not specified$200k-$325kDetected 90 days ago
KubernetesMachine LearningSparkData EngineeringComputer VisionEmbedded SystemsSystems EngineeringResearch
About the role
- We're looking for a research engineer to help improve our in-house world models through better multimodal data.
- The best generative models aren't just a product of model architecture and compute, they are a product of the training data.
- The model output reflects someone's obsession over what goes into the data, how it's processed, and what gets thrown away.
Responsibilities
- Build data processing and curation systems. Design and implement data processing pipelines for filtering, deduplication, quality scoring, and curation. You will create well-abstracted systems that your teammates can pick up and extend.
- Close the data → model → evaluation loop. You will diagnose model failures and trace them back to data issues, then design principled fixes to nip the problem in the bud.
- How do we build data pipelines that are reproducible and robust?
- We're building something bigger than any one person.
Requirements
- Deep experience with image and video data at scale.
- You know the data formats, the processing libraries (OpenCV, PIL, FFmpeg, PyAV), and you have hard-won intuition for what goes wrong when you're processing billions of samples.
- Experience with distributed computing.
- Experience using ML models as components.
- You can articulate why a filtering step exists and show evidence that it helps.
- Familiarity with the model training lifecycle.
Compensation
- $200-$325k base salary (good-faith estimate for San Francisco Bay Area upon hire
- Total Compensation
- Base salary plus equity awards
- Salary History
- We do not request or consider prior compensation in making offers
- Cal. Lab. Code §1197.5 (Equal Pay Act)
- $200-$325k base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)
Benefits
- Base salary plus equity awards
- How do you decide whether to filter aggressively for quality versus preserve diversity and coverage?
Equal opportunity
- World Labs is an equal opportunity employer.
- We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law.
- We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.
- California Pay Transparency
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This listing is sourced directly from World Labs's careers page and normalized into a canonical job model.