Senior AI Perception Engineer — Robotics Vision Leader

Mytra; City of Brisbane; On-site; AUD 264,000 - 284,000; Full time

Benefits offered by this job

Equity grants

Fully subsidised health coverage

401(k) plan

Lunch at HQ

Job summary

Mytra is seeking a Senior ML Perception Engineer to join its Computer Vision team. You will own perception models that enable a distributed robot fleet to see and interpret its environment, including detection, depth estimation, and scene understanding.

You’ll manage data pipelines, labeling, and simulation integration to bridge the gap to real robot deployment. You will collaborate with camera, robotics and safety teams, lead data-centric improvements, and help shape the perception roadmap

Qualifications

• 5+ years of directly relevant experience in CV or ML perception systems.
• Strong applied CV and DL skills including detection, segmentation, depth estimation.
• Track record shipping perception to production on real systems.
• Hands-on experience with cameras and depth/ToF sensors.
• Experience building/operating vision data pipelines and labeling workflows.
• Strong Python and PyTorch skills; comfort with C/C++ for on-device code.

Responsibilities

• Build and improve perception models for the fleet, including object detection and depth estimation.
• Own end-to-end vision data engine: ETL, cloud storage, labeling workflows, datasets.
• Advance simulation and sim-to-real; train/evaluate in simulation; validate with real data.
• Develop camera and time-of-flight based localization for safety system.
• Deploy and integrate perception on robots; optimize for on-robot compute.
• Provide technical leadership: design docs, code reviews, mentoring.

Skills

CV & DL skills

Python

PyTorch

C/C++

Simulation & sim-to-real

Data pipelines & labeling

Education

BS in a relevant field

MS or PhD preferred

Tools

ROS

CAN/pub-sub frameworks

TensorRT

GCP

Foxglove

Job description

Mytra is seeking a Senior ML Perception Engineer to join its Computer Vision team. You will own perception models that enable a distributed robot fleet to see and interpret its environment, including detection, depth estimation, and scene understanding.

You’ll manage data pipelines, labeling, and simulation integration to bridge the gap to real robot deployment. You will collaborate with camera, robotics and safety teams, lead data-centric improvements, and help shape the perception roadmap