Job Requisition ID #
26WD98709
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
Learn More
About Autodesk
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Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
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