Senior AI Engineer Self-Supervised Learning
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Job Location:
Zürich - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
RIVR is a Swiss robotics company pioneering Physical AI and robotic solutions to revolutionize last-mile delivery giving 1 human the power of 1000. Through the combination of artificial neural networks and innovative robot designs with wheels and legs RIVR aims to enhance efficiency sustainability and scalability in last-mile delivery. Founded as Swiss-Mile the company rebranded to RIVR in 2025 to better reflect its mission of driving the future of intelligent robotics. Join our innovative team renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich we are leaders in translating artificial intelligence and robotics into practical real-world applications.
RIVR is committed to building a diverse and inclusive team that values every perspective. If youre passionate about driving innovation in robotics and creating meaningful impact we encourage you to apply and bring your unique self to our team.
Job Description
Our global fleet of autonomous robots operates in the real world generating vast amounts of multi-modal sensor data. While our VLA team focuses on building large-scale models to consume this data much of it remains unlabeled and unstructured. We are seeking an expert in self-supervised and representation learning to unlock the full potential of this massive data pool.
In this role you will be responsible for designing and building the core data engine that transforms raw real-world sensor data into high-signal structured datasets suitable for training neural networks. You will pioneer methods to automatically curate filter and pseudo-label this data creating powerful representations that serve as the foundation for all downstream tasks including navigation imitation learning and decision-making.
You will work directly with the VLA and Reinforcement Learning teams to define data strategies and interfaces ensuring the data you produce directly accelerates their model development. If you are passionate about solving the data bottleneck in robotics and want to build the systems that learn meaningful patterns from the physical world we invite you to join us.
What youll be doing
- Design build and maintain scalable data pipelines to process filter and transform terabytes of raw multi-modal sensor data (e.g. video LiDAR IMU odometry) from our robotic fleet.
- Develop and implement state-of-the-art self-supervised and representation learning algorithms to automatically extract features discover patterns and generate pseudo-labels from our unlabeled data.
- Collaborate closely with the VLA Foundation Model and RL teams to define data requirements APIs and strategies for leveraging curated datasets and learned representations.
- Architect and implement robust evaluation strategies benchmarks and datasets to rigorously track the performance and quality of both the data pipeline and the downstream models that consume it.
- Own the data integration workflow creating efficient data loaders and access patterns to make high-signal data readily available for model training and experimentation.
- Research and prototype novel techniques in data curation active learning and anomaly detection to continuously improve the quality and efficiency of our data engine.
What you must have
- Masters degree or higher in a relevant field such as Computer Science Machine Learning or Robotics.
- A minimum of three years of industry or research experience with PhD experience applicable.
- Deep expertise in self-supervised learning (SSL) and representation learning particularly with multi-modal sensor data (e.g. contrastive learning masked autoencoders world models).
- Proven experience in building and managing large-scale data processing pipelines for machine learning (e.g. using Spark Kubeflow or similar cloud-native tools).
- Strong understanding of robotic sensor data (e.g. camera LiDAR IMU odometry) and their characteristics.
- Strong programming skills in Python and deep experience with PyTorch including creating custom and efficient DataLoaders.
- Experience with MLOps best practices and data versioning tools (e.g. DVC Pachyderm)
Get some bonus points
- PhD degree in Robotics Engineering Computer Science Machine Learning or a similar discipline or an equivalent amount of research experience.
- Publications at top-tier ML or robotics conferences (e.g. NeurIPS ICML CVPR CoRL ICLR).
- Experience with generative models (e.g. GANs Diffusion Models) for data augmentation or simulation.
RIVR is committed to building a diverse and inclusive team that values every perspective. If youre passionate about driving innovation in robotics and creating meaningful impact we encourage you to apply and bring your unique self to our team.
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
Required Experience:
Senior IC
Key Skills
- Graduate Engineering
- Accounts Administration
- Building Materials
- Customer Support
- Horticulture
About Company
Discover RIVR's innovative Physical AI solutions revolutionizing last-mile delivery. Our autonomous robots ensure faster, safer, and sustainable deliveries of parcels, groceries, and meals
