Dayvid Oliveira
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning @ Apple | Ph.D. | AIML, LLMs, GenAI and Recommendation Systems
Driving high-impact AI/ML engineering solutions at Apple since 2017. Senior Machine Learning Engineer with a Ph.D. in Machine Learning (UFPE) and 10+ years of experience designing, building, and deploying AI/ML systems from concept to global scale. I’ve held roles as ML Engineer, Scientist, and Applied Researcher, consistently operating at the intersection of product vision and technical innovation. At Apple, I lead initiatives that bring AI/ML capabilities to billions of users, from problem framing, to ML system design, to deployment. My work spans from Privacy-Preserving App Store Ads, ML hardware tools, internal AI agents, and GenAI/LLM applications, each engineered for measurable gains in performance, reliability, and user experience. I’ve published peer-reviewed papers, filed patents, and co-created the widely adopted scikit-learn-contrib/imbalanced-learn library.
Universidade Federal de Pernambuco
Doctor of Philosophy (PhD), Machine Learning
January 1, 2014 – January 1, 2018
Universidade Federal de Pernambuco
Master of Science (MSc), Computer Science
January 1, 2012 – January 1, 2013
Universidade Federal de Pernambuco
Bachelor of Engineering (BE), Computer Engineering
January 1, 2007 – January 1, 2011
Apple
Senior Machine Learning Engineer @ Apple S&S
August 1, 2025 – Present
Apple
Senior Machine Learning Engineer @ Apple Ads
January 1, 2021 – August 1, 2025
Apple
Senior Machine Learning Engineer @ Apple Hardware
January 1, 2019 – January 1, 2021
Apple
Machine Learning Engineer @ Apple Hardware
January 1, 2017 – January 1, 2019
Anchor Loans LP
Data Scientist / ML Engineer
January 1, 2015 – January 1, 2016
Remote
VIISAR
Machine Learning Researcher
January 1, 2012 – January 1, 2016
Recife Area, Brazil
scikit-learn-contrib/imbalanced-learn
January 1, 2016 – January 1, 2017
Core contributor of imbalanced-learn, a Python package implementing several resampling techniques for heavily imbalanced data sets. It performs both majority under sampling as well as minority over sampling using cutting edge techniques including: SMOTE, Borderline SMOTE, CNN, ENN, RENN, AllKNN, Instance Hardness Threshold, Tomek Links Extraction.
brew: Python Ensemble Learning API
January 1, 2014 – January 1, 2016
BREW provides an easy API for Ensembling, Stacking, Blending, Ensemble Generation, Ensemble Pruning, Dynamic Classifier Selection, and Dynamic Ensemble Selection.
linux-diagnostics-center
January 1, 2011 – January 1, 2011
The Linux Diagnostic Center (LDC) is a software tool that enables easy access to hardware information of computers and servers. Along with the tool, the LDC also provides the libldc, a C library that allows the developer to obtain hardware information from third party projects.
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior ML Engineer role, having worked extensively within a major tech company (Apple) across multiple divisions. Their involvement in open-source projects (imbalanced-learn, brew) and academic contributions (patents, peer-reviewed papers) suggest a proactive, collaborative, and innovation-driven mindset. The diversity of projects and roles within Apple (S&S, Ads, Hardware) indicates adaptability and a broad understanding of ML applications in different business contexts.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in technical strategy, cross-functional collaboration, and managing research, indicating strong operational fit and soft skills for a senior role. The descriptions are clear and demonstrate a structured approach to problem-solving and project execution.