Xometry is looking to develop and optimize predictive models using 3D data to predict business outcomes, aiming to connect those with ideas to manufacturers.
Requirements
- 5+ years of experience with machine learning, statistical modeling, and optimization techniques
- 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds
- Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
- Proficient in linear algebra and statistics
- Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment
Responsibilities
- Use data science and machine learning principles to develop effective predictive models using 3D data
- Write software to prepare, clean, and sample data for use in developing predictive models
- Use cloud resources (e.g., Amazon Web Services) to prepare and process data
- Query and extract data from databases (Snowflake and MongoDB)
- Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
- Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
- Solve challenging, uncharted problems
Other
- Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred
- M.S. or PhD in a related field highly desired
- Experience in the manufacturing industry is desired
- Must be a US Citizen or Green Card holder (ITAR)
- Work in an environment that thrives on teamwork and continuous learning opportunities
