Machine Learning Engineer
The ideal candidate for this position will possess a solid foundation in software engineering, along with demonstrated experience in machine learning and deep learning. They should be proficient in frameworks such as PyTorch, TensorFlow, or Jax.
Some of the key responsibilities for this role include:
* Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms
* Developing and optimizing 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
Some attributes we highly regard in our candidates include:
* 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
Some benefits we have on offer include:
* Competitive salary
* Meaningful ESOP
* Fully Flexible Work Environment
* Regular office events
* A genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us
At our organization, we value diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time.