Machine Learning Research Engineer, 3D

Overview

Develop and manage large multimodal data pipelines for AI in Autodesk products

Key Responsibilities

• code development
• data pipelines
• project lead
• data curation
• compliance
• experimentation

Tasks

-Write robust, testable code that is well-documented and easy to understand. -Develop and deploy highly scalable data pipelines for machine learning. -Own and lead engineering projects in the area of data acquisition, ingestion, curation and benchmarking. -Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code snippets, metadata) data sources into a unified format suitable for machine learning. -Work with our legal and trust teams to ensure compliant and ethical use of data. -Conduct and analyze experiments on data to provide insights to other researchers and leadership.

Requirements

• linux
• phd
• ml models
• 3d geometry
• version control
• distributed frameworks

What You Bring

-Proficiency with Linux, cloud, version control, testing and deployment pipelines. -MSc or PhD in Computer Science, Engineering, or a related technical discipline. -Strong publication record related to ML, datasets and benchmarks. -Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows. -Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry. -Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions. -Experience with collecting human data for training and evaluating ML models. -Experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations. -Excellent communication skills to document code, produce visualizations, and present findings from experiments. -Experience working with large multimodal machine learning datasets. -Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).

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About Autodesk

-Pioneered software for 2D and 3D design, revolutionizing industries. -Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows. -Empowering creators in fields from construction to digital media, enabling more innovative designs. -Develops tools used in iconic projects, from skyscrapers to blockbuster movies. -Pushes the boundaries of design technology, leading the way in artificial intelligence and automation. -Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment. -Cloud-based solutions streamline design processes and foster real-time collaboration across industries. -A leader in 3D design software, with solutions powering projects in every corner of the globe. -Committed to shaping the future of digital design, bringing complex visions to life.

Sector Specialisms