AI Engineer - VLA Foundation Model, RIVR

Amazon Science; Zürich; Presencial; CHF 110 000 - 170 000; Tempo integral

Resumo da oferta

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. We seek an expert to develop Vision-Language-Action models and generalist robot models, advancing autonomy and navigation across real-world tasks.

You will lead a team of engineers, prototype advanced algorithms in Python (PyTorch), and collaborate with RL teams to leverage simulated and real-world data. This role focuses on edge deployment and scalable research leadership.

Qualificações

• Master's degree or higher in Engineering, Robotics, or Machine Learning.
• ≥3 years industry or research experience; PhD applicable.
• Strong DL fundamentals including supervised, self-supervised learning, Transformers, policy optimization, imitation learning, and generative AI techniques (including Diffusion Models).
• Proven experience in developing Vision-Language-Action models or large-scale generalist robot models (e.g., RT-2, Octo).
• Strong robotics background including autonomy, navigation.
• Experience deploying artificial neural networks on hardware.
• Ability to prototype algorithms and train deep neural networks in Python (PyTorch).

Responsabilidades

• Develop and implement Vision-Language-Action (VLA) models, generalist robot transformers, and imitation learning algorithms to enable robots to autonomously execute complex tasks.
• Design, test, and refine algorithms for real-world autonomy and navigation with focus on spatial reasoning and generalization.
• Streamline data collection and training workflows to expand model capabilities with new tasks and data sources.
• Collaborate with the reinforcement learning team to innovate methods using simulated and real-world data.
• Optimize and distill networks for real-time deployment on edge hardware (e.g., Nvidia Jetson Thor).
• Build, lead and mentor an exceptional team of software engineers.
• Provide expert guidance to product managers and executives for strategic decisions.
• Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing.

Conhecimentos

Vision-Language-Action modeling

Imitation learning

Generative AI

Transformer architectures

Autonomy & navigation

Edge deployment

Team leadership

Documentation

Formação académica

Master's degree or higher in Engineering, Robotics, or Machine Learning

PhD experience applicable

Ferramentas

Python

PyTorch

C++

Descrição da oferta de emprego

Description

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software.

Description

RIVR, an Amazon company, is building Physical AI by deploying autonomous robots for real-world doorstep delivery. Operating daily in diverse urban environments, RIVR's robots continuously learn from and navigate the millions of scenarios encountered during deliveries. By owning the full stack from software. Our fleet of delivery robots operates globally today, generating vast amounts of robotic real-world data. By utilizing state-of-the-art Vision-Language-Action (VLA) models, large-scale generalist models (like Transformers), generative AI, and similar methods, we can leverage this pool of data to significantly enhance its autonomy, navigation, and manipulation skills. In this role, you will develop multi-modal models that enable robots to autonomously generate actions from demonstrations, real-time sensor data, and natural language commands. We are seeking an expert in VLA models, imitation learning, and generative AI techniques with a deep knowledge of supervised, and self-supervised learning algorithms. If you are passionate about pushing the boundaries of AI we invite you to join us in shaping the future of intelligent robotics.

Key job responsibilities

• Develop and implement Vision-Language-Action (VLA) models, generalist robot transformers, and imitation learning algorithms (e.g., diffusion policies) to enable robots to autonomously execute complex tasks.
• Design, test, and refine your algorithms to meet the demands of complex real-world autonomy and navigation tasks, with a focus on spatial reasoning and generalization.
• Streamline the data collection and training workflow to efficiently expand model capabilities with new tasks and data sources.
• Collaborate with the reinforcement learning team to innovate methods that leverage both simulated and real-world data.
• Optimize and distill networks for real-time deployment on the edge (e.g. Nvidia Jetson Thor).
• Build, lead and mentor an exceptional team of software engineers.
• Provide expert guidance to product managers and executives for strategic decision-making.
• Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing.

Basic Qualifications

• Master's degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.
• At least three years of industry or research experience, with PhD experience applicable.
• Strong deep learning fundamentals including supervised learning, self-supervised learning, Transformer-based architectures, policy optimization algorithms, imitation learning, and generative AI techniques (including Diffusion Models).
• Proven experience in developing Vision-Language-Action models or large-scale generalist robot models (e.g., RT-2, Octo).
• Strong background in robotics including autonomy, navigation.
• Experience with deploying artificial neural networks on hardware platforms.
• Ability to prototype algorithms and train deep neural networks in Python (Pytorch)

Preferred Qualifications

• PhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience.
• Publications at top-tier conferences.
• Experience in managing a software team.
• Ability to write production-level code in modern C++

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