Applied ML Engineer - Real-Time Vision for Safety Systems

Seeing Machines; Canberra; On-site; AUD 110,000 - 170,000; Full time

Job summary

Seeing Machines is seeking an outstanding applied Machine Learning Engineer to develop ML/CV solutions deployed in real-world automotive and fleet products. You will work with researchers, data scientists and engineers to deliver features used in millions of vehicles.

You will train and validate models, build real-time algorithms, curate datasets and contribute to MLOps using Docker, MLFlow and MetaFlow, applying 3D geometry knowledge to camera-based systems.

Qualifications

• Bachelor's, Master's or equivalent in Advanced Computing, Computer Vision, Machine Learning, Computer Science, or equivalent.
• Applied Machine Learning skills, preferably with applications in computer vision.
• Strong programming skills and experience developing in Python.
• Excellent problem-solving abilities and strong verbal and written communication.
• A collaborative team player who can work effectively across multiple teams.
• A proactive mindset, with an eagerness to try new approaches and solve complex problems.

Responsibilities

• Training and validating machine learning models that support various vision-based production software features.
• Developing and testing real-time algorithms (heuristics) leveraging ML models to meet customer use case requirements.
• Directing and curating the collection and use of datasets for feature development and validation.
• Deep-diving into product performance issues to identify practical strategies to improve features.
• Developing and documenting high-level feature requirements, architectures, designs and test specifications.
• Evaluating and employing the latest state of the art ML models and training techniques.
• Collaborating closely with other machine learning researchers/engineers, software engineers, data engineers, technicians and customer project teams.
• Contributing to MLOps and Data pipelines and engineering practices using tools like Docker, MLFlow, and MetaFlow.

Skills

Applied ML

Python

Communication

Team player

Problem solving

Proactive mindset

Education

Advanced Computing/CS/ML/Computer Vision

Tools

Docker

MLFlow

MetaFlow

PyTorch

TensorFlow

ONNX

LiteRT

Job description

Seeing Machines is seeking an outstanding applied Machine Learning Engineer to develop ML/CV solutions deployed in real-world automotive and fleet products. You will work with researchers, data scientists and engineers to deliver features used in millions of vehicles.

You will train and validate models, build real-time algorithms, curate datasets and contribute to MLOps using Docker, MLFlow and MetaFlow, applying 3D geometry knowledge to camera-based systems.