Julien Monteil

AI Researcher

Brisbane, Queensland, Australia15 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led ML team at Amazon focusing on genAI solutions.
Authored over 50 peer-reviewed papers and 20 patents.
Developed systems benefiting millions of customers monthly.

Stackforce AI infers this person is a Machine Learning expert specializing in B2C and B2B applications.

Contact

Skills

Core Skills

Machine LearningRecommender SystemsAnomaly DetectionOptimizationControl Engineering

Other Skills

genAI solutionsVideo GenerationA/B TestingSemantic RecommendationsPerformance MonitoringAlgorithm DesignNetwork FailuresTime Series AnalysisControl TheoryCloud Services

About

• Leading the Machine Learning team at Amazon International Machine Learning Australia, which focuses on the Research and Development of genAI solutions for Amazon customers globally. • 10+ years of post-PhD experience in the Research and Development of ML systems for customer-facing applications in retail, automotive, networking, healthcare. • Developed and launched dozens of ML systems for Amazon, AWS, IBM, including many systems benefiting millions of customers monthly. • Authored 50+ peer-reviewed papers and 20+ patents in diverse research communities, including machine learning, recommender systems, control, and transportation.

Experience

Amazon

3 roles

Applied Science Manager

Promoted

Dec 2023 – Present · 2 yrs 3 mos

@Amazon International Machine Learning. Leading the Machine Learning team at Amazon International Machine Learning Australia, which primarily focuses on the Research and Development of genAI systems for Amazon customers globally. We design and launch innovative end-to-end solutions in the domain of recommender systems, video generation. We occasionally publish our work in top Machine Learning conferences.

Machine LearninggenAI solutionsRecommender SystemsVideo Generation

Senior Applied Scientist / Applied Scientist

Jan 2021 – Nov 2023 · 2 yrs 10 mos

@Amazon International Machine Learning, as Applied Scientist then Senior Applied Scientist. Researched and developed the end-to-end recommender system for Amazon miniTV, a new streaming platform attracting millions of customers daily; the devised solutions led to multiple launches post successful A/B testing. Designed algorithms for semantic recommendations beating SOTA on cold-start datasets. Advised on the use of ML for improved performance monitoring in Australian sports (Swimming, AFL).

Recommender SystemsA/B TestingSemantic RecommendationsPerformance MonitoringMachine Learning

Applied Scientist

Oct 2019 – Dec 2020 · 1 yr 2 mos

@AWS Networking. Prototyped then productionised a time series anomaly detection system for detection of low packet loss network failures. Built a system for scalable offline testing of anomaly detection algorithms. Extended a simulator for measuring the detectability of packet loss across the AWS network. Owned algorithm design and prototyping, team role in development.

Anomaly DetectionAlgorithm DesignNetwork FailuresMachine Learning

The university of queensland

Adjunct Senior Lecturer

Apr 2023 – Present · 2 yrs 11 mos · Brisbane, Queensland, Australia

Adjunct appointment at the University of Queensland to engage in teaching and research activities in applied machine learning.

Ibm research

Research Staff Member

Sep 2016 – Sep 2019 · 3 yrs · Dublin, County Dublin, Ireland

Leadership and team roles in machine learning and optimization projects: machine learning for in-vehicle systems, deep learning for traffic and air pollution forecasting, large-scale optimization for mobility systems, and data-enabled healthcare. Productionization of 3 cloud services in IBM Connected Vehicles Insights. Research on control theory bridging nonlinear string stability and contraction theory. Published 10+ papers and filed 20+ patents. Secured internal and external research funding.

Machine LearningOptimizationControl Theory

Trinity college dublin

Research Fellow

Mar 2015 – Aug 2016 · 1 yr 5 mos · Dublin, County Dublin, Ireland

Leading research on control engineering techniques to design next generation adaptive cruise control systems, and on machine learning techniques for offline and online estimation of driving behavior.

Control EngineeringMachine Learning

Ministry of transport

Lead Engineer

Dec 2013 – Feb 2015 · 1 yr 2 mos · Paris Area, France

In charge of data acquisition, data management, data analysis, and reporting on the quality of transport services in France (air, rail, maritime, public transport) in a political structure advising the cabinet of the Minister of Transport.

Queensland university of technology

Visiting Researcher

Sep 2011 – Dec 2011 · 3 mos · Brisbane Area, Australia

Work on solving the propagation of shock waves in traffic flow under nonlinear assumptions.

Epfl (école polytechnique fédérale de lausanne)

Visiting Researcher

Jun 2011 – Jun 2011 · 0 mo · Lausanne, Vaud, Switzerland

Work on contextual parameter estimation for microscopic traffic flow.

Université de lyon

PhD Candidate

Oct 2010 – Nov 2013 · 3 yrs 1 mo · Greater Lyon Area

Work at the intersection of traffic flow theory, control theory, and machine learning. Investigating how automated and connected vehicles could be leveraged to improve traffic flow efficiency and safety.