United States onlyWe’re a nine-time “Best Company to Work For,” where intelligent, talented people come together to do outstanding work—and have a lot of fun while they’re at it. We offer a solution-focused environment full of collaboration and dedication, to our goals and to each other. You’ll have the opportunity to drive your own success in a supportive, globally connected environment.
Requirements
- 5+ years of experience in a data science or machine learning (MLOps) role
- 5+ years of experience with Python in a production environment
- Strong experience with AWS: AWS Glue, Sagemaker
- Strong experience with Terraform
- Strong CI/CD experience
- Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment
- Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
- Knowledge of statistics and Machine Learning techniques
- Experience with GitHub
- Experience building data pipelines
Benefits
- Competitive compensation package
- Target base salary range of $140,000 - $169,000
- Performance-based bonuses and other incentives
