Senior Machine Learning Engineer, Autodesk

• Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions
• Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001
• Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success
• Research Expertise: Proven research track record in AI/ML, high-performance computing, big data, applied mathematics, or statistics
• Real-World Experience: Demonstrated history of developing AI/ML powered solutions that solve a real-world problem and have users of any form
• Programming Skills: Proficiency in Python and JavaScript (required), C++ (optional)
• Analytical Skills: Solid understanding of ML approaches to determine suitable technologies or methodologies for specific problems
• Code Quality: Natural aptitude for good code and software architecture
• Work Ethic: Hands-on mentality

Desirable

• 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 AI-powered capabilities
• As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/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
• You will guide the team in determining methods, technologies, and best practices, informed by the latest AI/ML research and industry developments
• Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001
• 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
• Cloud-Based Data Preparation: Design and develop 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 published or novel and creative approaches
• Model Development: Develop ML models, building on the latest published research
• Model Improvement: Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning
• Integration: Integrate existing ML models into novel applications
• Application Development: Develop and deploy applications that integrate AI/ML technology or models
• Problem Solving: Apply ML methods to address challenges in the CAD/CAM space
• Literature Review: Review relevant AI/ML literature and industry developments to identify emerging methods, technologies, and best practices
• Collaboration: Work collaboratively with cross-functional teams to integrate research findings into product development
• Mentorship: Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement
• Publication: Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events