<p>As a small team, we’re all generalists who work together and jump in wherever needed.</p>What You’ll Do<ul><li>Design and implement exciting new features - you’ll be trusted to work largely independently, owning every part of a service from top to bottom.</li><li>Improve performance of existing features - we iterate quickly on our existing code base, obsessively taking user feedback into account. You’ll be trusted to make improvements as you see them, taking initiative to improve the product in a rapidly changing environment</li><li>Help make decisions about the direction of the product - you should be passionate, but open-minded about productivity tools and information discovery and work closely with the founding team to make key decisions around the direction of the product based on real data and user feedback</li><li>Talk to users!</li></ul>What You Need<ul><li>Familiarity with the backend - our codebase is largely built in Python. Knowledge of NoSQL databases is a plus</li><li>Experience building with various AWS services such as Fargate, ECS, DynamoDB</li><li>Knowledge of how to build great user experiences across platforms. Some technologies you should be familiar with include React, Javascript/Typescript, and Webpack. Experience working with Electron, and Chrome Extensions is a plus.</li></ul>

Full Stack Software Engineer

What You’ll Do<ul><li>Apply cutting-edge NLP research to unstructured data to provide real value to users - specifically semantic understanding, and recognizing named entities in unstructured text</li><li>Design and own all aspects of our machine learning infrastructure - you’ll be trusted to work largely independently with all aspects of the machine learning pipeline, and have the freedom to implement industry best practices that allow us to work quickly</li><li>Help make decisions about the direction of the product - you should be passionate and open-minded about productivity tools and information discovery and work closely with the founding team to make key decisions around the direction of the product based on real data and user feedback</li><li>Talk to users!</li></ul>What You Need<ul><li>Previous experience implementing machine learning in a production setting-Strong understanding of modern NLP techniques (work related to embeddings, and named entity recognition a plus)</li><li>Experience with AWS ML tools such as SageMaker</li><li>Familiarity with ML frameworks such as PyTorch and Tensorflow</li></ul>

Machine Learning Engineer

<p>As a small team, we’re all generalists who work together and jump in wherever needed.</p>What You’ll Do<ul><li>Design and implement exciting new features - you’ll be trusted to work largely independently, owning every part of a service from top to bottom.</li><li>Improve performance of existing features - we iterate quickly on our existing code base, obsessively taking user feedback into account. You’ll be trusted to make improvements as you see them, taking initiative to improve the product in a rapidly changing environment</li><li>Help make decisions about the direction of the product - you should be passionate, but open-minded about productivity tools and information discovery and work closely with the founding team to make key decisions around the direction of the product based on real data and user feedback-Talk to users!</li></ul>What You Need<ul><li>Familiarity with the backend - our codebase is largely built in Python. Knowledge of NoSQL databases is a plus</li><li>Experience building with various AWS services such as Fargate, ECS, DynamoDB</li></ul>

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Full Stack Software Engineer

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