Senior Machine Learning Engineer, Data for Embodied AI
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Lead the design, construction, and scaling of large-scale multimodal data pipelines (video, LiDAR, telemetry) used to train cutting-edge embodied AI models.
Own data quality metrics, validation, debugging, and experimentation to directly improve model performance.
Develop end-to-end ingestion, preprocessing, filtering, annotation, and storage workflows across modalities to enable high-throughput training.
Collaborate with ML researchers and platform engineers to ensure datasets fit research needs and integrate into training workflows.
Build internal tools for dataset auditing, visualization, versioning, governance, and reproducibility, while upholding data safety and privacy standards.
Operate in a fast-paced, collaborative environment, turning raw experience into high-quality, scalable datasets that accelerate autonomous system development.
Own data quality metrics, validation, debugging, and experimentation to directly improve model performance.
Develop end-to-end ingestion, preprocessing, filtering, annotation, and storage workflows across modalities to enable high-throughput training.
Collaborate with ML researchers and platform engineers to ensure datasets fit research needs and integrate into training workflows.
Build internal tools for dataset auditing, visualization, versioning, governance, and reproducibility, while upholding data safety and privacy standards.
Operate in a fast-paced, collaborative environment, turning raw experience into high-quality, scalable datasets that accelerate autonomous system development.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inSimilar openings
Other roles that could suit you.