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Sr. Differential Privacy Research Engineer

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Team:
Engineering
Locations:
Remote US

Sr. Differential Privacy Research Engineer, Mozilla Corporation, Mountain View, CA & Sugar Land, TX: perform research into data obfuscation methods for generation of anonymized datasets; design & implement experiments to assess real-world threat models pertaining to sensitive info release; & publish research findings in peer- reviewed academic journals & international conferences. The position may be eligible for telecommuting from any location in the U.S. Must have a Ph.D. in Statistics or Mathematics & 2 yrs of exp writing large-scale data analysis w/Apache Spark. Must have (i) 2 yrs of exp performing statistical inference applied to noise-obfuscated data collections; (ii) 2 yrs of exp developing statistical packages in Python and R; & (iii) 1 yr exp performing probabilistic analysis of unlikely events & outlier detection. Must have at least 1 relevant academic publication on the topic of differential privacy. Exp may be gained concurrently. Apply online at https://careers.mozilla.org/listings.


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At Mozilla, we’re serving humanity—by maintaining a safe, open internet—while also helping the individual humans employed here to reach their personal and professional goals. With a relatively small team serving hundreds of millions of people, a culture of exploration, and a commitment to mentorship, opportunities abound to learn and grow at Mozilla.


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  • Flexible work environment (nearly half of Mozillians work remotely)
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  • Reimbursement for professional development (up to $3,000/year)
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  • Wellness programs — we reimburses up to $1700/year for expenses like child and elder care, mental wellness, and personal enrichment