Member of Technical Staff, Vision-Language Research
At xdof · San Mateo Hybrid; San Francisco, California, United States
Salary: US$180,000–300,000 a year
- Full-time
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours On Gumroad.
Where you’ll work
Hybrid, based in San Francisco or San Mateo
“San Mateo Hybrid”
From the location.
“San Francisco, California, United States”
From the job board field.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
Report a mistake
- Posted
- 23 October 2026
- First seen by us
- 24 October 2026
- Last checked
- 10 hours ago
Job description
From xdof’s job post, as they wrote it.
Frontier labs are racing to build general-purpose robots, and the bottleneck isn't compute. It's data. At xdof, we're building the foundation behind the foundation models: the data collection systems, annotation pipelines, exabyte-scale data infrastructure, and software toolchain that enable our partners to push the field forward.
We're hiring a Research Scientist to lead technical efforts at the intersection of vision-language models and robot learning. You will lead an exploratory project on what data a model actually needs in order to reason about and act in the physical world. This is an open question across the field, and the role is largely about finding the answer: studying how frontier models currently fail at embodied tasks, forming hypotheses about which kinds of structured annotations on egocentric video would close those gaps, prototyping them on our data, and running experiments that show whether they help.
Read the full description
The ideal candidate has a research background in representation learning, and some of the following: vision, robotics, and language models.
What You'll Do
* Develop and evaluate representations that bridge visual perception, language, and low-level robot action conditioned on different modalities Collaborate directly with partner labs to define data requirements and close the loop between data quality and downstream policy performance
* Stay current on the research frontier (VLAs, video foundation models, flow matching, DiT architectures, egocentric pretraining) and translate insights into new research and production systems
About You
Required:
* PhD in Computer Science, Robotics, Machine Learning, or a related field from a top-tier program
* 3–7 years of research or applied research experience (industry or academic) in one or more of: vision-language models, video understanding, robot learning, or generative modeling
* Deep fluency in PyTorch; working knowledge of large-scale training infrastructure (distributed training, mixed precision, large batch workflows)
* Published work or demonstrable impact in VLMs/VLAs, video representation learning, imitation learning, or a closely related area
* Strong engineering fundamentals — you can design clean systems, not just run experiments
Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.
