2 часа назад
Senior / Staff AI Research Scientist, Foundation Models (AI)
200 000 - 360 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior / Staff AI Research Scientist, Foundation Models (AI): Developing and deploying vision-language-action models and world models for embodied intelligence in industrial robots with an accent on spatial reasoning, multimodal learning, and long-horizon planning. Focus on training action-conditioned generative models, simulating task outcomes, integrating vision, language, speech, and proprioception, and optimizing production-grade models for robotic platforms.
Location: Milpitas, California, United States; 5 days per week in the office
Salary: $200,000–$360,000 USD per year, plus bonus and equity
Company
develops physical AI-powered robots for dull, dirty, and dangerous industrial work, with a focus on real-world deployment and scalability.
What you will do
- Design and deploy vision-language and vision-language-action models for contextual understanding and generalized robot action policies.
- Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation.
- Improve world model fidelity using vision, language, proprioception, and spatial representations.
- Develop foundation models with spatial reasoning capabilities for high-precision robotic actions.
- Integrate multimodal data, including vision, language, and speech, for natural human-robot communication.
- Optimize and deploy production-grade models on robotic platforms.
Requirements
- PhD in Machine Learning, Robotics, or a related field, or a Master's degree with 4+ years of relevant experience.
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX.
- Expertise in large foundation models, including VLMs and VLAs.
- Strong understanding of world model architectures and action-conditioned generative modeling for robot learning.
- Understanding of multimodal models, transformers, diffusion models, and modern machine learning architectures.
- Ability to work in the office five days per week.
Nice to have
- Experience with video generation or prediction models for world modeling or synthetic data generation.
- Strong publication record at leading machine learning and robotics conferences.
- Experience with neural network deployment, TensorRT, and GPU programming with CUDA.
- Ability to design scalable experimentation and data pipelines.
Culture & Benefits
- Competitive stock options and equity programs.
- Health, dental, and vision insurance.
- 401(k) plan.
- Visa sponsorship and green card support are available for qualified candidates.
- Provided lunches and dinners, a stocked kitchen, and regular team-building events.
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