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Machine Learning Engineer, Experimentation

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Key skills for this role

PythonMachine LearningA/B testing

Drive the development of new adaptive experimentation techniques
Lead efforts to improve the sensitivity and trustworthiness of our experimentation platform
Develop solutions for open problems at the cutting edge of experimentation measurement, addressing challenges such as selection bias due to user opt-outs
Collaborate closely with Core ML research scientists and product teams (e.g., Instagram) to ensure seamless integration and avoid revenue interference
Apply deep mathematical and statistical expertise to build robust models based on opt-in user data
Contribute to a team that ensures the quality of ads meets defined benchmarks for users, while also delivering maximum value for advertisers
Help connect businesses to people through better, more relevant advertisements

Mathematical and statistical background, including probability and statistical theory, including probability and statistical theory
Experience with Python programming
Experience with data analysis across large datasets
Experience with software engineering combined with statistical and mathematical expertise
Experience navigating large enterprise architectures, identifying issues and implementing nuanced changes

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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