Member of Technical Staff, Vision / Language Engineer
- Location
- Remote (US)
- Listed
- 23 days ago
What You'll Do
- Design and implement vision-language pipelines for egocentric and teleoperation video: structured captioning, temporal grounding, action-conditioned scene understanding, and semantic annotation at scale
- Develop and evaluate representations that bridge visual perception, language, and low-level robot action - spanning VLAs, video prediction, and world models
- Build and improve data curation systems that assess quality, diversity, and coverage of large-scale robot demonstration datasets
- Work hands-on with bimanual and high-DoF manipulation data, including real teleoperation footage and sim-generated rollouts
- 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 production systems
Required
- MS or 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
Benefits
- Competitive compensation and equity
- Comprehensive health and wellness benefits
- Flexible work arrangements
- Collaborative and fast-paced work environment
- Opportunity to shape the future of robotics and AI alongside an ambitious, values-driven team
- Level: Mid Level to Senior Research Scientist (L4-L5 equivalent) Location: San Mateo
- Note: Junior candidates will still be considered
- If you’re excited to help build the infrastructure powering tomorrow’s intelligent machines, we’d love to hear from you!
About XDOF
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 Engineer / Scientist to help lead technical efforts at the intersection of vision-language models and robot learning. You will build systems that turn raw egocentric and teleoperation video into high-signal training data for VLA models, and increasingly, contribute to the models themselves.
Beyond pipelines, you will drive research into what makes robot data useful: discovering new metadata (contact events, affordance labels, implicit reward signals, dynamics priors from video) that unlock capabilities current approaches miss. You'll explore how structured annotations can improve cross-embodiment transfer, automatic curriculum generation, and world models that predict what actually matters for manipulation. The data layer isn't downstream of the research. It is the research.
From XDOF's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Member of Technical Staff, Vision / Language Engineer role at XDOF, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Member of Technical Staff BackendFuku · San Francisco, CA
- Member of Technical Staff, Distributed Training PerformanceHark · San Jose, CA
- Member of Product StaffNectar · Palo Alto, CA
- Member of Technical Staff, Software Engineer, PlatformPantograph · San Francisco, CA
- Member of Technical Staff, Frontier AI & RoboticsAmazon.com Services LLC · San Francisco, CA
- Member of Technical Staff, Pretraining DataMirendil · San Francisco, CA
Common questions
Where is the Member of Technical Staff, Vision / Language Engineer job at XDOF located?
Yes, this Member of Technical Staff, Vision / Language Engineer opening at XDOF is listed as Remote (US). Always check XDOF's application page for specific state eligibility or relocation policies.
How do I apply for the Member of Technical Staff, Vision / Language Engineer position at XDOF?
This listing links directly to XDOF's Ashby application page. You can apply directly on XDOF's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.