Staff Applied Scientist

Required

• 8+ years building ML systems in production, with hands-on depth across data science, ML engineering, and ML operations. You have designed and trained models yourself, built the pipelines and services that run them, and operated them under production load
• A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output
• Deep experience prototyping, refining, and deploying predictive models (supervised and unsupervised learning, neural networks, recommenders) with frameworks such as PyTorch and Tensorflow
• Strong distributed systems fundamentals, designing for scale, reliability, and cost on the billions of daily data points our customers generate
• An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making
• Recommender systems, multi-armed bandits, or uplift modeling in production
• ML platform tooling such as MLflow or another model registry, Ray, feature stores, or ML observability
• Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes)
• Customer engagement, personalization, or marketing technology domain experience
• For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $299,812/year with an expected On Target Earnings (OTE) between $204,000 and $332,400/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.