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ML @ Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Pennsylvania
Master's degree, Data Science
N/A – Present
University of Pennsylvania
Bachelor’s Degree, Pure Mathematics and Computer Science
N/A – Present
Meta
Machine Learning Engineer
June 1, 2025 – Present
New York, New York, United States · Hybrid
Machine Learning Engineer
March 1, 2022 – May 1, 2025
New York, New York, United States · Hybrid
Machine Learning Intern
May 1, 2021 – August 1, 2021
New York, New York, United States · Remote
MBition GmbH
Artificial Intelligence Intern
June 1, 2020 – August 1, 2020
Berlin, Germany · Hybrid
LogMeIn
Machine Learning Intern
January 1, 2018 – July 1, 2019
Budapest, Hungary · On-site
Software Engineer Intern
May 1, 2017 – August 1, 2017
Menlo Park, California, United States · On-site
RapidMiner, Inc.
Software Engineer Intern
May 1, 2016 – August 1, 2016
Budapest, Hungary · On-site
Cultural Fit Analysis
The candidate has worked at large, established tech companies (Meta, LinkedIn, Facebook) and has experience in foundational AI and standardization, suggesting an ability to work within structured environments and contribute to core infrastructure. The diversity of internship experiences (MBition, LogMeIn, RapidMiner) indicates adaptability. However, the lack of detailed project descriptions makes it difficult to fully assess alignment with specific company cultures or innovative approaches beyond established frameworks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's resume indicates experience in collaborative environments (e.g., 'Foundational AI Team', 'Org Standardization'), but no specific details on communication, teamwork, or problem-solving approaches are provided.