Research, design, and train foundation models for robotics; align text-based reasoning with low-level control policies; evaluate zero-shot generalization; run experiments; integrate models into robotic systems and present findings externally.
We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.
Responsibilities:
- Train foundation models for robotics, utilizing architectures similar to RT-X.
- Align text-based reasoning processes with low-level robotic control policies.
- Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
- Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
- Document and present research findings at internal and external conferences.
Qualifications:
- PhD or equivalent research experience in Deep Learning and Robotics.
- Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
- Practical experience with imitation learning and behavior cloning techniques.
- Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Serve as the primary post-implementation contact for top customers, craft joint success plans, run executive business reviews and workshops, mentor teammates, support French-speaking customers, and advise on customizing Samsara’s IoT platform to drive safety, efficiency, and sustainability.
Top Skills:
IotSamsara PlatformVehicle TelematicsVideo-Based Safety
Gaming
Lead product vision, roadmap, and outcomes for Hit It Rich Slots. Drive monetization and live-ops strategy, coordinate cross-functional teams and partners, define analytics standards, and own long-term player engagement, retention, and revenue growth.
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.
Top Skills:
AthenaAWSBedrockCi/CdDynamoDBGlueLlm Fine-TuningMl Ops FrameworksPythonPyTorchRlhfSagemakerScikit-LearnSQLTensorFlowVersion Control
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
