Senior Machine Learning Engineer - Australia

Required skills

Demonstrated experience with Machine Learning and Deep Learning, Strong foundation in software engineering, Proficiency in frameworks like PyTorch/Tensorflow/Jax, Excellent problem-solving skills as applied to new domains, Ability to work effectively asynchronously and cross-functionally on ill-defined problems, Ability to own problems and proactively approach challenges

Preferred skills

Technologies

PyTorch, Tensorflow, Jax, LiDAR, aerial photography, photogrammetry, GIS

Responsibilities

Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms, Developing and optimising training pipelines to reduce toil and idea-to-evaluation time, Scaling the serving of models for different problems with different characteristics while reducing the time from the first model to production, Improving the speed of model QA and identifying data and distribution drift in the models, Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving, Mentoring other engineers in best practices for model training and software engineering

Seniority

Senior

Domain

Machine Learning, Artificial Intelligence, Energy, Infrastructure, Data Science