TL;DR
Principal Applied Scientist (AI): Building production-level Machine Learning models and integrating them into large-scale data pipelines with an accent on solving challenging problems related to quality and coverage of shopping data assets. Focus on designing, creating, and using state-of-the-art algorithms for scalable artificial intelligence solutions and anticipating/solving data pipeline issues.
Location: Cairo, Egypt. Employees are expected to work from the office at least four days per week if they live within a 25-mile commute of a Microsoft office in a non-U.S. country-specific location.
Company
hirify.global’s Online Shopping team is a collaborative and interdisciplinary team building novel solutions to global online shopping by leveraging Applied Scientists, software engineers, Data engineers, and Product Managers.
What you will do
- Independently create product impact by applying, improving, or creating research-backed solutions.
- Leverage your network and expertise to attract research talent and build trusted relationships with stakeholders.
- Perform and provide leadership for documentation processes for work in progress, experimentation results, and plans.
- Drive discussions around ethics and privacy policies related to research processes and/or data collection.
- Champion innovative principles and forward-looking technologies related to industry trends and advances.
- Oversee and guide the architecture of scalable machine learning/data ETL pipelines across multiple business units.
Requirements
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
- OR Master’s Degree in a related field AND 4+ years related experience.
- OR Doctorate in a related field AND 3+ years related experience.
- Must work from the office at least four days per week if within a 25-mile commute of a non-U.S. Microsoft office.
Nice to have
- Master’s Degree in a related field AND 9+ years experience OR Doctorate in a related field AND 6+ years experience.
- 3+ years experience presenting at conferences or other industry events as an invited speaker.
- 7+ years experience conducting research as part of an academic or industry research program.
- 5+ years experience developing and deploying live production systems within a product team.
- 7+ years experience developing and deploying products or systems across multiple points of the product cycle.
Culture & Benefits
- Work within a culture of inclusion, respect, integrity, and accountability.
- Contribute to a growth mindset, innovate, and collaborate to achieve shared goals.
- Microsoft is an equal opportunity employer committed to diversity.
- Assistance with religious accommodations and/or reasonable accommodation due to a disability is available.
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