Software Engineer, Papercup

• Analysing and optimizing machine learning codebases to improve training and inference performance
• Managing the production lifecycle of ML models from initial deployment, to testing and updating of the next iteration
• Building and maintaining common libraries and frameworks, relied upon by the Machine Learning team to train, evaluate and deploy models
• Build up on existing data pipeline (Airflow, Django)
• We will be a great match if you have:
• Familiarity with Python - also having knowledge of JavaScript is a bonus
• Experience working with machine learning framework (i.e. PyTorch/TensorFlow)
• Previously worked with the software development lifecycle and CI/CD best practices, preferably with Machine Learning models
• Practical experience with pipelines for deep learning models
• Practical experience with different database technologies such as SQL

Desirable

• As a member of the machine learning team at Papercup, you will be part of a great team pushing the boundaries of neural text-to-speech and speech-to-speech translation systems
• You will be working closely with machine learning engineers, to design and build our internal tooling and MLOps for training, evaluation, data gathering and deployment
• You will be part of a newly formed Applied Research team, this team will focus on building out Papercup’s capabilities to many languages and building systems that can scale to meet the customer demand
• You will play a critical role to ensure we can serve our customers with cost-efficient models. At the same time, your work would enable a higher pace of research