time type

Full time

posted on

Vor 27 Tagen ausgeschrieben

job requisition id

As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and machine-learning ( ML ) -powered capabilities.

As a Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk’s global developer ecosystem.

Your knowledge of ML technology , design, development, and deployment, coupled with cloud computing experience, will be crucial for successfully implementing cloud-based ML -powered solutions. Alongside other Machine Learning Engineers and experienced Software Engineers you will use will follow best practises, use state-of the-art technolog y and stay abreast with by the latest AI/ML research and industry developments in the Design and Manufactuting space . Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.

In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.

Responsibilities

• Cloud-Based Data Preparation:  Design , develop and maintain a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.

• Optimization:  Optimize this pipeline for throughput, latency, and cost using novel and creative approaches.

• Model Development:  Develop and imp ro ve ML models, building on recent published research.

• Integration:  Integrate existing ML models into novel applications.

• Application Development:  Develop and deploy applications that integrate ML technology or models.

• Problem Solving:  Apply ML methods to address challenges in the CAD/CAM space.

• Collaboration:  Work collaboratively with cross-functional teams to integrate research findings into product development.

Requirements

• Education and Experience: Master’s degree in M achine L earning o r similar and at least one year experience applying ML methods o n a job or during relevant internship s .

• Programming Skills:  Proficiency in Python and JavaScript (required), C++ (optional).

• Cloud Computing:   E xperience with AWS services, particularly ECS, EC2, Lambda, and AWS Identity and Access Management (IAM).

• ML Frameworks:  Experience ML frameworks for data preparation and training at a large scale.

• Code Quality:  Natural aptitude for good code and software architecture.

• Work Ethic:  Hands-on mentality.

• ML theory: Understanding of and experience with deep neural network architectures like a utoencoders , graph neural networks, transformers , and with r einforcement learning .

• Analytical Skills:  Solid understanding of different ML approaches to determine suitable technologies or methodologies for specific problems.

• Real-World Experience: Demonstrated history of developing ML powered solutions that solve a real-world problem and have users of some form.