John Pertoft
ML EngineerMachine Learning Research Engineer at King
King
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 Research Engineer at King
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
KTH Royal Institute of Technology
Master of Science (MS), Computer Science
January 1, 2011 – January 1, 2016
Stockholm University
Information Technology
January 1, 2010 – January 1, 2010
King
Senior AI/ML research engineer
March 1, 2025 – Present
Stockholm, Stockholm County, Sweden
Embark Studios
Machine Learning Research Engineer
December 1, 2021 – March 1, 2025
Stockholm, Stockholm County, Sweden
Vionlabs
Machine Learning Engineer
December 1, 2020 – December 1, 2021
Stockholm, Stockholm County, Sweden
Schibsted Media Group
Machine Learning Engineer
December 1, 2017 – December 1, 2020
Greater Stockholm Metropolitan Area
King
Machine Learning Engineer
January 1, 2017 – December 1, 2017
Stockholm
DoReMIR Music Research AB
Software Engineer
September 1, 2016 – November 1, 2016
Greater Stockholm Metropolitan Area
KTH Royal Institute of Technology
Research Assistant
June 1, 2016 – September 1, 2016
Greater Stockholm Metropolitan Area
The Quality Advertising Company (QUAD)
Software Developer
July 1, 2015 – December 1, 2015
Greater Stockholm Metropolitan Area
KTH Royal Institute of Technology
Computer Lab Assistant
February 1, 2015 – June 1, 2015
Greater Stockholm Metropolitan Area
Timlen AB
Developer
June 1, 2014 – March 1, 2015
Greater Stockholm Metropolitan Area
Drum Sound Detection in Polyphonic Music with Hidden Markov Models
August 1, 2015 – October 1, 2015
We did an application that converts audio files to MIDI files with the drum notes transcribed from the audio file by Hidden Markov Models trained on MFCC feature vectors. A MATLAB implementation of the drum transcription method described in Jouni Paulus and Anssi Klapuri's original research paper. The project received the highest grade in the course Pattern Recognition at KTH Royal Institute of Technology.
Graph Visualization of Code Complexity - Software Development
November 1, 2013 – May 1, 2014
This is a course project focused on simulating real life software development. Each team chose a project, which was supplied by a client. In our case we chose a project called "Graph Visualization of Code Complexity" which was supplied by Ericsson. Over six months we worked agile using SCRUM developing a tool according to their requirements. My role in the project: Developer
Project in Human & Computer Interaction
January 1, 2013 – Present
A group-project in the course Human & Computer Interaction.
Probabilistic Deep Learning with TensorFlow 2
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background, working in gaming (King, Embark Studios), media (Vionlabs, Schibsted Media Group), and music research (DoReMIR Music Research AB). This breadth of experience suggests adaptability to different industry contexts and problem domains. The progression from Software Engineer to Machine Learning Engineer and then Senior AI/ML Research Engineer indicates a clear career path and commitment to the ML field. The projects, including academic ones, show a blend of theoretical understanding and practical application, which is beneficial for a research-oriented ML role. The target role of 'ML Engineer' aligns well with the candidate's career trajectory and specialized experience.
Soft Skills & Operational Fit
The candidate's project descriptions, while brief, indicate experience in team-based software development (Graph Visualization of Code Complexity) and research assistant roles, suggesting an ability to collaborate and contribute to technical projects. The description of working agile using SCRUM points to familiarity with structured development methodologies. However, without specific psychometric or English test scores, a detailed assessment of soft skills, work attitude, stress handling, and team collaboration is not possible.