Position Overview
The Reality Solutions group at Autodesk is responsible for the development of next generation technologies to increase the ease of use and value of reality capture data in building, construction and infrastructure workflows. We employ machine learning, computer vision and computational geometry to solve complex problems, tackle data and performance at massive scales, while hiding this complexity from our users when they use it in our desktop and cloud services.
We are seeking an experience engineer to help build out our reality data feature recognition and extraction platform. We are looking for a passionate, creative and collaborative person who can bring their experience of developing production-grade ML systems to the team. We value your knowledge in applying appropriate machine learning, deep learning, predictive modelling and optimization to prototype, build and deploy solutions to new problem spaces.
Responsibilities
- Research, design and building machine learning and deep learning solutions to new problems
- Lead machine learning based research with cross-functional teams to discover new business opportunities
- Advocate and implement the best practices, in terms of knowledge, technology and process, to ensure the team is working effectively to deliver customer value while also constantly learning to remain up to date in a rapidly changing domain
- Collaborate effectively with product management, engineering, design and other stakeholders to deliver products that have a quantifiable impact on Autodesk's business
Minimum Qualifications
- A degree in a related field (Data Science, Computer Vision, Computational Geometry) or equivalent professional experience
- Experience with Reality Capture technologies (Point clouds, 3D photogrammetry, large scale data & rendering)
- Proven track record overseeing machine learning projects at all stages, from initial conception to implementation and optimization
- Collaborative, respectful, and inclusive engineer who is interested to work in a diverse and global team
Preferred Qualifications
- Bachelors/MS/Ph.D. in a related field (Data Science, Computer Science, Statistics, or a quantitative-related field)
- 3+ years' experience in developing and shipping machine learning, natural language processing or deep learning models
- Experience in Python
- Experience in deep learning libraries, such as PyTorch and TensorFlow
- Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (SageMaker)
- Experience working with AWS services like ECR, S3 & Lambda
- Experience in data pre-processing and building ML pipelines
- Strong communicator who can explain complex topics to both a technical and non-technical audience
- Excellent communication skills, project management skills, and technical management skills
