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Senior AI ML Robotics Platform

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Senior AI ML Robotics Platform in Canada new

  • Siemens
  • Full time
  • Email
  • Kitchener

Responsibilities

  • Define robotics dataset structures, metadata schemas, quality rules, and validation logic for industrial data collection and AI enablement.
  • Design representations for robot state, action data, task context, vision streams, annotations, and environmental metadata.
  • Drive dataset versioning, reproducibility, lineage, and training and evaluation readiness.
  • Develop validation pipelines and quality checks for robotics data completeness, alignment, synchronization, and usability.
  • Support VLA-related data collection, Level 3 skill enablement interfaces, and evaluation-ready datasets.
  • Translate model and evaluation needs into practical platform requirements with research-facing stakeholders.
  • Collaborate with robotics integration engineers on robot episodes, sensor timelines, and action representations.
  • Contribute code, prototypes, tooling, and technical guidance across platform and data workflows.

Requirements

  • Master's degree or equivalent experience in Computer Science, Robotics, Machine Learning, Data Engineering, Artificial Intelligence, or a related field.
  • Strong experience with Python and modern data engineering or ML tooling.
  • Experience with structured and unstructured datasets, metadata, validation workflows, and quality management.
  • Good understanding of AI/ML workflows, robotics data, perception data, or model evaluation pipelines.
  • Ability to bridge technical details across software, data, and AI teams.
  • Strong analytical and problem-solving skills, with a practical mindset for ambiguous early-stage platform environments.
  • Experience with robotics, robot learning, teleoperation data, vision-language-action workflows, or embodied AI is an advantage.
  • Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines is preferred.
  • Familiarity with ROS/ROS2, robot logs, trajectory data, or multimodal data synchronization is preferred.
  • Experience with industrial environments, edge collection systems, or sensor-rich datasets is preferred.

Benefits

  • Base salary ranges from $130,000 CAD to $160,000 CAD, excluding bonus and benefits.
  • Eligibility for an annual discretionary bonus of 10% of base salary based on company performance metrics.
  • Flexible work environment with flex hours, telecommuting, and digital workspaces; the posting is marked hybrid.
  • Competitive total rewards package, profit sharing availability, and vacation that may be bought or sold.
  • Career advancement opportunities, mentorship programs, employee perks, and discounts.
  • Opportunities to participate in social responsibility initiatives, celebrations, social events, and offsite business events.

Salary: Competitive

Siemens

Siemens is a German public technology company headquartered in Munich, founded in 1847. It builds industrial automation and electrification systems for factories and infrastructure, rail vehicles and signaling, and industrial software and IoT platforms for manufacturers and utilities. The busines...

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