6 часов назад
Research Engineer / Scientist (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer / Scientist (AI) (Robotics and Vision-Language Models): Building vision-language pipelines and large-scale data systems that transform egocentric and teleoperation video into training data for vision-language-action models, with an accent on robot learning, structured annotation, and data curation. Focus on developing representations connecting perception, language, and robot actions, discovering metadata for manipulation, and improving cross-embodiment transfer and world models.
Location: San Mateo, United States; hybrid work required
Company
Builds data collection systems, annotation pipelines, large-scale data infrastructure, and software tools for foundation models and general-purpose robotics.
What you will do
- Design and implement vision-language pipelines for egocentric and teleoperation video, including structured captioning, temporal grounding, action-conditioned scene understanding, and semantic annotation.
- Develop and evaluate representations connecting visual perception, language, and low-level robot actions across VLAs, video prediction, and world models.
- Build data curation systems to assess the quality, diversity, and coverage of large-scale robot demonstration datasets.
- Work with bimanual and high-DoF manipulation data from real teleoperation footage and simulation-generated rollouts.
- Collaborate with partner labs to define data requirements and connect data quality with downstream policy performance.
- Translate research developments in VLAs, video foundation models, flow matching, DiT architectures, and egocentric pretraining into production systems.
Requirements
- MS or PhD in Computer Science, Robotics, Machine Learning, or a related field.
- 3–7 years of research or applied research experience in vision-language models, video understanding, robot learning, or generative modeling.
- Deep fluency in PyTorch.
- Working knowledge of large-scale training infrastructure, including distributed training, mixed precision, and large-batch workflows.
- Published work or demonstrable impact in VLMs/VLAs, video representation learning, imitation learning, or a related area.
- Strong engineering fundamentals and the ability to design clean systems.
Nice to have
- Experience with contact events, affordance labels, implicit reward signals, or dynamics priors derived from robot data.
- Experience with cross-embodiment transfer, automatic curriculum generation, or manipulation-focused world models.
- Junior candidates may also be considered.
Culture & Benefits
- Competitive compensation and equity.
- Comprehensive health and wellness benefits.
- Flexible work arrangements within the hybrid setup.
- Collaborative, fast-paced, and values-driven environment.
- Opportunity to contribute to robotics and AI research.
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