As a Machine Learning Engineer , you will help bring new capabilities to market that allow the client's enterprise customers to work more effectively with 3D data. The products and innovations you build will help customers by providing intelligent insights into their 3D data inventory. In this role, you will collaborate with engineering and product teams to research, design, deploy, scale and test machine learning systems.
Design custom neural network architectures, to train and recognize 3D geometry from 3D and 2D input data Measure and test ML system accuracy and efficacy and automate machine learning parameter tuning Deploy large-scale ML systems in the cloud Develop pipelines for processing 3D, 2D and meta-data for ML training Work closely with cross-functional teammates, including product managers, engineers, and leadership, to deliver the highest impact Qualifications: 5+ years industry experience in software engineering or machine learning-focused roles Bachelor’s degree in CE, CSE, Mathematics or related field A strong track record of performing machine learning model development using Python (NumPy, Tensorflow, Pytorch, Scikit-learn, etc.) and SQL/NoSQL interaction patterns Familiarity with data warehouse technologies such as GCP BigQuery or AWS Redshift Familiarity with Linux/OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation Knowledge of modern techniques in machine learning and deep learning, e.g., transformer network architectures, with an orientation to maximizing such algorithms in a large scale production setting. Machine learning strategic sequencing of methodological and software improvements to work back from maximizing core metrics associated with optimizing the business Ability to lead and execute projects from idea to deployment The ability to clearly communicate complex results to technical and non-technical audiences Nice to Have: Working knowledge of Google Cloud services and design practices Working knowledge with APIs, data processing pipelines and distributed systems Experience working with 3D data and 3D design software such as Autodesk, SolidWorks, Maya or Blender