Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer, you will create machine learning models that drive digitisation of real-world infrastructure from a variety of data sources such as LIDAR, imagery, and vector data sources.

In Short

• 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 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.

Requirements

• 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

Benefits

• Competitive salary
• Meaningful ESOP
• Fully Flexible Work Environment.
• Regular office events
• Working on a genuinely complex, innovative and industry-leading product.