Research Scientist – World Modeling, Data
Sunnyvale, CA
- Pay
USD 150,000–400,000/year — pay source
Salary 150,000 – 400,000 USD per year Visa Sponsorship
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Visa Sponsorship
Read the full posting
What you’ll work on
Full postingWe are looking for Research Scientists to tackle the data problems that determine our world model capabilities.
You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data.
Translate requirements from downstream training, application and eval teams to actionable data work.
Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.
From the employer’s posting
We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team’s human efforts into durable automated systems, whose performance is quantitatively verifiable.
Position Summary We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team’s human efforts into durable automated systems, whose performance is quantitatively verifiable. Key Responsibilities
Key Responsibilities Translate requirements from downstream training, application and eval teams to actionable data work. Design and build scalable data pipelines.
Strong systems and engineering expertise in deep learning frameworks such as PyTorch. Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. Salary
Tools in this posting
- AWS
- PyTorch
Source — Tool mentions in context
- Design and build scalable data pipelines. - Collaborate with engineering to scale data pipelines on AWS infrastructure and in-house clusters. - Develop state-of-the-art visual understanding systems to accurately label and annotate images and videos, such as for detecting AI-generated content.
- Experience with video data curriculum. - Strong systems and engineering expertise in deep learning frameworks such as PyTorch. - Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.
About Ifm-Us
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models.
In the employer’s words · Read in context
Job description
Position Summary
We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team’s human efforts into durable automated systems, whose performance is quantitatively verifiable.
Key Responsibilities
-
Translate requirements from downstream training, application and eval teams to actionable data work.
-
Design and build scalable data pipelines.
-
Collaborate with engineering to scale data pipelines on AWS infrastructure and in-house clusters.
-
Develop state-of-the-art visual understanding systems to accurately label and annotate images and videos, such as for detecting AI-generated content.
Academic Qualifications
-
PhD in Machine Learning or Computer Science, or equivalent industry experience.
Professional Experience
Necessary:
-
Strong communication and collaboration skills for effective cross-functional teamwork.
-
Ability to navigate ambiguity and drive projects in rapidly evolving research areas.
-
Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.
Preferred:
-
Experience in building and optimizing large-scale video data pipelines.
-
Experience with large scale video curation.
-
Experience with data filtering, particularly AI-generated content detection and duplicate detection.
-
Experience with image or video data annotation.
-
Experience with video data curriculum.
-
Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
-
Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.
Salary
150,000 – 400,000 USD per year
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 150,000 – 400,000 USD per year Visa Sponsorship
- Location & working pattern
Sunnyvale, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
150,000 – 400,000 USD per year Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 7
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Sep 4, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.