Senior Machine Learning Software Engineer

Responsibilities

• Develop robust software prototypes demonstrating machine learning model applications in collaboration with researchers and ML Ops
• Identify opportunities to automate and streamline processes to improve research and development velocity
• Participate in design discussions with software architects as projects transition from research to pre-production
• Write programs that interface with production software, such as Fusion
• Develop data pipelines to facilitate the machine learning lifecycle
• Containerize and deploy applications using Docker
• Advocate for and implement best practices to ensure effective code development across different stages of maturity
• Work across a diverse group of researchers, developers, product managers, and designers

Requirements

• Degree in Data Science, Computer Science, Statistics, or a related quantitative field
• Proficiency in Python and C++
• Experience with industry best practices for developing and maintaining complex code bases
• Strong documentation skills for handing off code and software architecture
• Ability to work independently as a self-starter with minimal supervision
• Comfort working in ambiguous, newly forming areas that require high adaptability

Preferred Qualifications

• 3-5 years of experience in software engineering
• Expertise with Machine Learning and Deep Learning libraries such as PyTorch, TensorFlow, Pandas, SciKitLearn, or PySpark
• Experience with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Databricks, SageMaker)
• Experience with cloud data processing, training, or deployment on AWS or GCP
• Experience developing web applications and APIs
• Background in CAD/CAM software or the design and manufacturing industries

About the Company

Autodesk helps innovators turn their ideas into reality, transforming not only how things are made, but what can be made. From the greenest buildings to the smartest factories, our software empowers creators to shape the world.