As a Senior Machine Learning Engineer specializing in Causal Inference within the Ads Measurement team, you will spearhead the Reddit Conversion Lift (RCL) product, driving significant advancements in causal inference and machine learning methodologies, ensuring reliability, and enhancing scalability. Your responsibilities include leading projects from inception through implementation and rollout, identifying opportunities to improve ad measurement, designing and maintaining experimentation systems, conducting code reviews, developing statistical and machine learning models, collaborating with cross-functional teams, mentoring junior team members, and staying current with the latest advancements in causal inference and machine learning.
Minimum qualifications include 5+ years of relevant industry or academic experience (2+ years with a Ph.D.), experience deploying models in production, a strong understanding of the advertising domain, causal inference, and experimental design. You should also possess the ability to lead and mentor engineers and data scientists, have strong communication skills, and demonstrate an ability to innovate.
Preferred qualifications include an advanced degree in a quantitative field, a deep understanding of advanced causal inference techniques, experience designing experimentation systems, tech lead experience, and direct experience with ad effectiveness measurement.
Benefits include comprehensive healthcare, 401k match, family planning support, gender-affirming care, mental health and coaching benefits, flexible vacation, Reddit Global Days Off, generous parental leave, and paid volunteer time off.
How to Apply
Interested in this position? Please submit your resume and cover letter through the application portal.
Apply Now