As a Staff Data Scientist at Jasper, you will help implement and train the state of the art AI & NLP models, evaluate them, and integrate them into our robust production environment for inference. You will help build automated data retrieval, feature extraction, model training and deployment at scale. You will suggest and institute appropriate evaluation metrics to evaluate models in sandbox and production environments via A/B testing framework. You are good at distilling the results and communicating it to all stakeholders in layman terms. You will keep yourself up to date with the latest research in AI & NLP and come up with proposals to improve our models. You are capable of estimating your own tasks to come up with an accurate delivery timeline for projects. You will produce high quality code through rigorous unit tests, code reviews, and documentation. You will contribute as an individual as well as be capable of leading a team to execute on projects.
Our teams are passionate about supporting new employees and growing a diverse culture of ideas and collaboration. Our work is about using artificial intelligence to unlock creative potential. We see AI as a partner to creatives that can get them through writer’s block, over hurdles and out of the content hamster wheel. Ai should empower content creators to do their best work and get time and mental space back for new ideas. Our target market is composed of creatives (writers, designers, content marketers) and content-forward companies.
The role is open to candidates located in the US and can be remote within the United States. We have offices in Austin, TX and Salt Lake City, UT with employees based across the US. We've built a strong foundation to support remote employees engagement with other teams. We have a mix of experience levels and backgrounds, and we’re building an environment that celebrates knowledge sharing, mentoring and career growth.
What you will do at Jasper
What you will bring to Jasper
At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $207,000- $240,000. Compensation may vary based on relevant experience, skills, competencies and certifications.