2 дня назад
Senior Robotics Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Robotics Engineer (AI): Developing Vision-Language-Action models and foundation architectures for robotic manipulation and navigation with an accent on multimodal data, large-scale model fine-tuning, and real-time inference. Focus on optimizing AI reasoning for physical robot execution, integrating models with robotics and hardware platforms, and publishing research at top-tier conferences.
Location: Boston, Massachusetts; based in the Boston office
Company
is an embodied AI company developing robotics and artificial intelligence technologies to transform human labor across multiple industries.
What you will do
- Design, implement, and scale Vision-Language-Action models and foundation architectures for robotic manipulation and navigation.
- Develop multimodal data collection strategies, synthetic data generation methods, and efficient fine-tuning approaches for large-scale models.
- Optimize model inference for real-time robotic applications while preserving reasoning capabilities.
- Integrate AI models into physical robotic platforms in collaboration with Core Robotics and Hardware teams.
- Contribute to research publications at conferences such as NeurIPS, CVPR, ICRA, and CoRL.
Requirements
- PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, focused on Deep Learning and Computer Vision.
- Significant research publications and citations at major conferences, including NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.
- Experience working in leading AI research environments.
- Deep expertise in PyTorch or JAX.
- Experience with Transformers, Diffusion Models, and Large Language Models.
- Strong understanding of Vision-Language models and their use in robotic action and control loops.
Culture & Benefits
- Medical, dental, and vision insurance for employees and dependents.
- 401(k) with a 100% company match up to 6%.
- 20 days of paid time off, paid sick leave, and parental leave.
- Wellness or gym stipend.
- Learning and development support.
- Equity or bonus opportunities.
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