24WD75344 Machine Learning Engineer (Pipeline Developer)Position presentationAutodesk designs software for creators. If you've ever driven a high-performance car, looked at a towering skyscraper, used a smartphone, or seen a great sci-fi movie, chances are you've admired what millions of Autodesk customers are designing. help of our software. Autodesk's Media and Entertainment Emerging Technologies team is recruiting for a Machine Learning Engineer to work on innovative projects that help our customers imagine, design and create a world best. You will report to our Director of Research, and you will help us implement and improve machine learning models while applying AI research best practices. You will apply XML methodologies and tools to a wide range of data and use cases, and help shape the future of media and entertainment technologies.ResponsibilitiesSupport research by building pipelines and experimental prototypesSupport large-scale data processing and preparationAnalyze model errors and design strategies to mitigate issuesImplement and improve recent machine learning models and AI-related techniquesWork collaboratively on research projects within an international team.Conduct training on models and hyperparameter tuningCollaborate with our advanced engineering team to implement artificial intelligence solutionsMinimum requirementsBachelor's degree,



in a discipline associated with AI/machine learning, such as computer science, mathematics, statistics, physics (or similar field)At least 3 years of experience as a pipeline developer for VFX or game production (application of machine learning techniques).Understanding of fundamental computer algorithms and their scaling behaviorsSkilled in data modeling, data architecture and network architectures, process automation, batch processing, artifact verification scoring, resilience managementCoding skills in Python and/or C++Experience with TensorFlow, PyTorch (or other standard deep learning frameworks)Documentation skills for code and software architectureAutonomy and ability to find solutions and solve problems independentlyComfort with ambiguity and ability to learn and adapt in newly formed areasProven skills in visual presentation of informationDesired skillsWe value experience in one or more of the following areas:Computational geometry and geometric methodsInformation on machine learning statistical methodsDeep learning techniques (network architectures, regularization techniques, learning techniques, objective functions, optimization strategies)Delivery modelsMultimodal deep learning or information extractionAdvanced university degree in a related AI and machine learning field (PhD or MSc)#J-18808-Ljbffr

📌 Advanced Machine Learning Engineer At Pinterest (Toronto)
🏢 A pioneering AI firm
📍 Toronto