Member Of Technical Staff Vision Language

XDOF; San Mateo; Sur place; PHP 8 822 000 - 14 493 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Flexible work

Collaborative team

Impactful work

Résumé du poste

XDOF is seeking a Mid to Senior Research Scientist to design and implement vision-language pipelines for egocentric and teleoperation video, bridging perception, language, and robot action. You will develop scalable representations and data systems while collaborating with partner labs to ensure data quality drives policy performance.

The role emphasizes publishing impact, clean software engineering, and hands-on work with high-DoF manipulation data, with opportunities to shape the data

Qualifications

• MS or PhD in CS/Robotics/ML from a top-tier program.
• 3–7 years of research or applied research in vision-language models, video understanding, robot learning, or generative modeling.
• Deep fluency in PyTorch; working knowledge of distributed training infrastructure, mixed precision, large-batch workflows.
• Published work or demonstrable impact in VLMs/VLAs, video representation learning, imitation learning, or related areas.
• Strong engineering fundamentals — able to design clean systems, not just run experiments.

Responsabilités

• 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.

Connaissances

PyTorch

VL models

Video understanding

Robot learning

Generative modeling

Formation

MS or PhD in CS/Robotics/ML

Description du poste

Job Description:

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.

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!