Sr. Machine Learning Engineer

March 21

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Description

• Develop models to predict memorability and saliency on visual content. This will involve working with advanced convolutional neural networks (2D and 3D), transformers and other architectures. • Build interpretability tools to analyze the resulting models and understand their behavior. • Extract insights from model results and aid in their interpretation • Deploy models to cloud-based production environments. • Implement other analytics solutions, such as data analysis and visualization tools to understand our client’s data and leverage it to improve our models.

Requirements

• Bachelor's degree in Data Science, Computer Science, Software Engineering, Mathematics, similar technical field of study or equivalent practical experience. • At least 3 years of relevant work experience. • Advanced Python proficiency. • Demonstrable experience developing computer vision models in Pytorch or Tensorflow/Keras. • Knowledge of the AWS suite and related technologies. • MS or PhD degree in Engineering, Data Science, Computer Science, or other technical related field; or equivalent practical experience. • Proven ability to rapidly translate a research paper into prototypes (industry or research labs experience). • Experience setting up large deep learning models into production environments. • Experience designing, scaling, and optimizing machine learning infrastructure (e.g., distributed cloud computing, big data pipelines, visualization, MLOps, monitoring).

Benefits

• WFH with flexible work hours • Unlimited PTO • Publication opportunities • Science-driven culture • Contacts within the Harvard / MIT ecosystem • Yearly bonus for personal learning