Want to revolutionize Content Creation with AI?
Launched in February 2021, Jasper is an AI content platform that helps creators and companies of all types expand their creative potential. With 100,000 active customers using Jasper to break through writer’s block, repackage their content, create original art, and adjust writing for language and tone. The interest in AI continues to grow and we are at the forefront of teaching the world how to leverage artificial intelligence as a creative partner. We are building teams that will pioneer the content generations space even further.
About the role
As a Staff ML Engineer at Jasper your scope of responsibility may include hands-on contribution, architecture, designing highly-robust systems and mentoring. This is a highly-visible role in Jasper with interaction across all levels of the leadership team (VP of Engineering, Head of Data & AI and Principal ML leaders).
You will help build the state of the art ML infrastructure that performs automated data retrieval, feature extraction, model training and deployment at scale. You will mentor other engineers and be a voice for how we evolve our technical roadmap for the ML infrastructure. You will evaluate the latest ML technologies and come up with proposals to evolve our ML infrastructure. You have mastered the art of estimating for your own tasks as well as for others to come up with a delivery timeline for projects. You will make the team produce high quality code through rigorous unit tests, code reviews, and documentation. You will contribute and lead a team of engineers to execute on projects that span across multiple areas of the product.
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:
- Design and build the state of the art ML pipeline to retrieve/preprocess data, extract features, train and deploy models at scale.
- Design and develop CI/CD pipeline to train and deploy models to staging and production environments.
- Design and build the monitoring platform for our models to monitor, evaluate, and retrain if a deviation from stated accuracy goal is observed.
- Drive the technical roadmap and evolve our ML infrastructure.
- Own and lead the development of various modules in the ML pipeline.
What you will bring to Jasper:
- 7+ years of experience developing mission critical applications using Java or Python or similar object-oriented languages.
- 4+ years of experience building ML and Data pipeline architectures.
- 4+ years of background in AI, NLP, and Machine Learning.
- Strong knowledge of ML frameworks such as TensorFlow, PyTorch, Keras.
- Strong knowledge of SQL and NoSQL databases.
- Experience delivering successful software projects from concept to production.
- Strong experience in data structures and algorithms.
Compensation Range
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 $197,000- $225,000. Compensation may vary based on relevant experience, skills, competencies and certifications.
The Engineering values that guide us:
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Engineering without ego - We own our work, but within the framework of the team. We see features through to the end while respecting our team members' ideas
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Strong opinions, loosely held - We fight for our ideas, but are open to hearing others' suggestions
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Ship fast, sustainably, and simply - We move quickly without over-complicating but with a minimum of debt
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Scale each other - We support and teach each other every day in order to be the strongest team possible
