Senior Machine Learning Software Engineer

Senior Software Engineer - Machine Learning

Fusion  - Collaborative Research and Innovation

The Fusion Collaborative Research and Innovation team is looking for a driven and naturally curious software engineer who can hit the ground running in a dynamic environment. We are a small, agile applied research team that are intensely curious and passionate about the impact of artificial intelligence on the product design and manufacturing industry.

Fusion  is a CAD/CAM software product that connects a company’s entire product design & development process in a single tool. We see many opportunities for machine learning to expand what our customers are capable of.

In this role, you will play a critical role in bridging the gap between machine learning researchers and production software developers for Fusion . You will work with researchers to build out novel applications for machine learning. When the time comes to move any feature into product, you will be a strong interface with product engineering to plan the integration into Fusion . You are excited by the idea of working on a wide range of tasks across the research and development pipeline.

Responsibilities

• Develop robust software prototypes demonstrating applications of models, in collaboration with machine learning 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 mature 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 (Docker)
• Advocate and implement best practices to ensure the team is developing code effectively at different stages of research and prototype maturity
• Work across a diverse group of machine learning researchers, developers, product managers, software architects and user experience designers

Minimum Requirements

• A degree in a related field (Data Science, Computer Science, Statistics or a quantitative-related field) or equivalent professional experience.
• Proficient in Python, C++
• Experience with industry best practices for developing and maintaining complex code bases
• Strong documentation skills to hand-off code and software architecture
• A self-starter with initiative to search for solutions and execute on problems with minimal supervision
• Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills and requirements may change as new information is gained
• Ability to break down a large problem into small components and provide a clear solution for each

Preferred Requirement

• 3-5 years of experience with software engineering
• Expertise with Machine Learning, Deep Learning and statistical modeling tools and libraries such as Pytorch, TensorFlow, Pandas, SciKitLearn, pyspark (in IDEs like PyCharm, RStudio, Jupyter)
• Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks and analytic environments (Databricks, SageMaker)
• Experience with cloud data processing, training, deployment, or operations (AWS, GCP)
• Experience with developing web applications
• Experience with developing APIs
• Experience with CAD/CAM software, or design and manufacturing industries are a plus

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About Autodesk

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