Xianghang Liu
ML EngineerMachine Learning Engineer
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
Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UNSW
PhD, Computer Science
January 1, 2010 – January 1, 2014
Beihang University
Master of Engineering, Computer Science
January 1, 2005 – January 1, 2008
Beijing Normal University
Bachelor of Science, Applied Mathematics
January 1, 2001 – January 1, 2005
Meta
Machine Learning Engineer
January 1, 2025 – Present
London Area, United Kingdom · On-site
Huawei
Principal Machine Learning Research Consultant
March 1, 2021 – November 1, 2025
Longshot Systems
Senior Machine Learning Researcher
July 1, 2019 – March 1, 2021
London, England, United Kingdom
Machine Learning Engineer
July 1, 2017 – June 1, 2019
London, United Kingdom
Commonwealth Bank
Data Scientist
October 1, 2015 – July 1, 2017
Sydney, Australia
CISRA
Research Engineer
June 1, 2014 – October 1, 2015
Sydney, Australia
Ambiata
Intern data scientist
September 1, 2013 – December 1, 2013
Sydney, Australia
Microsoft
Research Intern
March 1, 2011 – June 1, 2011
Beijing City, China
NICTA
PhD student
July 1, 2010 – June 1, 2014
Sydney, Australia
sobey Digital Technology Co., Ltd.
Software Engineer
March 1, 2008 – March 1, 2010
Beijing City, China
Microsoft
Research Intern
April 1, 2007 – September 1, 2007
Beijing City, China
Deep Dive: Building Your First Pipeline
Palantir Technologies
June 24, 2026 – Present
Deep Dive: Transforming your data with Code Repositories
Palantir Technologies
June 24, 2026 – Present
Fundamentals of MCP
Hugging Face
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations (Meta, Facebook, Huawei, Microsoft) to research institutions (CISRA, NICTA) and startups (Longshot Systems, Ambiata). This breadth of experience suggests adaptability and a potential for strong cultural fit in various organizational settings. The range of projects, from ad prediction to financial modeling and computer vision, indicates a versatile and broad skill set.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading teams and providing guidance, suggesting strong leadership and collaboration skills. Their extensive research background implies strong problem-solving and analytical abilities. However, without specific assessment data on communication, logical reasoning, or stress handling, a definitive assessment of soft skills and operational fit is limited.