What makes you a great fit:

• You are able to work across the ML stack. Everything from researching models, working with large data sets, training, evaluating, and tuning existing models, creating models from scratch, deploying them at scale, analyzing results to improve outcomes continuously, and presenting to stakeholders across tech and business. We understand that it takes multiple iterations to get something right.
• You are strong in Python, especially as it applies to ML. You are comfortable or not afraid to pick technologies like SQL, Cassandra, Kafka, BigQuery, etc., on the fly.
• You have 1+ year of industry experience building and deploying NLP models in multilingual systems.
• You have a solid statistical foundation and mathematical understanding of real-world problems. 
• You are able to take abstract requirements and convert them into concrete deliverables for our users and business. You are comfortable exploring green field projects if required.
• You are an excellent communicator. You can explain complex topics in simple languages, so you can help the broader team to understand the impact and inspire people to rally around the ML vision.
• You are able to operate effectively with minimal structure, process, and oversight.
• You have 1+ years of industry ML experience, having built and deployed models at scale.
•  You have an advanced degree or have done significant coursework in Statistics, Mathematics, Machine Learning, or a related quantitative field
•  You have prior experience influencing data and platform improvements to help shape the technology platform that powers ML at scale,
•  You have been a founding engineer of ML teams at growing startups and played a key role in building the team.
• You have prior experience with high-level machine learning frameworks such as Tensorflow, AWS Sagemaker, etc.