Staff Applied Scientist

Role overview

Provide technical leadership on complex machine learning work, turning broad objectives into scientific plans and measurable results. You will shape modeling strategy, guide decisions across teams, and improve how models are developed, evaluated, and operated in production. The focus is on high-impact initiatives that require sound judgment across performance, reliability, and scale.

Responsibilities - Set technical direction for complex machine learning initiatives and define scientific approaches and success measures. - Lead the design and evaluation of advanced models for predictive quality, robustness, and scalability. - Find systemic ways to improve model development, experimentation, evaluation, and production performance across teams. - Work with scientific, engineering, and business leaders to guide priorities and resolve modeling tradeoffs. - Establish scientific practices, mentor colleagues, and improve the consistency and quality of machine learning work.

Requirements - Bachelor’s degree in a quantitative or technical field, or equivalent practical experience. - At least 4 years developing machine learning models or applying advanced statistical methods to complex quantitative problems. - Experience leading the technical design and implementation of production machine learning solutions. - Experience applying advanced modeling and statistical evaluation to large-scale datasets. - Experience defining technical approaches or architecture for initiatives involving multiple stakeholders or systems.

Nice to have - Advanced quantitative degree, ideally a PhD. - Knowledge of deep learning, ensemble methods, or probabilistic modeling. - Experience balancing predictive performance with interpretability, scalability, and reliability. - Experience creating modeling frameworks, evaluation standards, or reusable tools adopted across teams. - Ability to influence technical direction, mentor scientists, and communicate recommendations to senior stakeholders.

Benefits and work setup The role is listed as remote in the United States and Canada, excluding Quebec for Canadian hires, with regular in-person team sessions that may occur once or twice per quarter. The listing describes salary, bonus opportunities, equity, retirement matching, health coverage, paid leave, family support, wellness and productivity allowances, and team events. The stated base salary range is $199,500–$276,000 USD.