25 Sep
|
Autodesk
|
Montreal
Autodesk makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk's Emerging Media and Entertainment Technology team is hiring Machine Learning Engineers to work on innovative projects that help our customers imagine, design, and make a better world. Reporting to our Director of Research, you will help us with implementing and improving ML models while applying best practices for AI Research. You'll apply ML methodologies and tools to a wide array of data and use cases, and help shape the future of media and entertainment technology.ResponsibilitiesImplement and enhance new ML models and AI techniquesWork collaboratively on research projects within a globally distributed teamSupport research through building experimental pipelines and prototypesHandle data processing and preparation at scaleConduct model training and hyperparameter tuningAnalyze model errors and design strategies for mitigationCollaborate with our Advanced Engineering team to implement AI solutionsMinimum QualificationsBSc or MSc in a related AI/ML field such as Computer Science, Mathematics, Statistics,
Physics (or similar)Understanding of fundamental CS algorithms and their scaling behaviorsStrong skills in data modelling and data architectureAbility to decompose large problems into manageable components and develop clear solutions3-5+ years of experience applying machine learning algorithms and libraries to business problemsSolid background in statistical methods for Machine Learning (Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, and regression techniques)Proficient in Deep Learning techniques (Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies)Experience with TensorFlow, PyTorch, and other standard deep learning frameworksCoding skills in Python and/or C++Excellent documentation skills for code and software architectureDemonstrated skills in presenting information visuallyExperience explaining recent concepts to different audiences (technical or nontechnical) and demonstrating a learner's mindsetPreferred QualificationsWe appreciate experience with one or more of the following:Computational geometry and geometric methods (e.G. shape analysis, signal processing, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)Diffusion modelsPassion for entertainment and media, skills in the use of creative softwareExpertise in network architectures, process automation, batch processing, artefact check-pointing, resilience managementMulti-modal deep learning and/or information retrievalNatural Language ProcessingReinforcement LearningPhD in a AI/ML related field
📌 Senior Machine Learning Engineer (Montreal)
🏢 Autodesk
📍 Montreal