Xometry

Machine Learning Engineer II

Xometry

contract

Posted on:

Location Type: Remote

Location: Argentina

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AWSCloudNumpyPandasPythonPyTorchTensorflow

About the role

  • Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
  • Analyze large datasets to extract meaningful patterns and insights.
  • Collaborate with cross-functional teams to integrate machine learning models into production systems.
  • Learn and apply best practices in model evaluation, performance tuning, and deployment.
  • Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
  • Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
  • Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
  • Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Requirements

  • A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
  • Experience deploying and maintaining machine learning models in production environments.
  • 4+ years of experience in machine learning, focusing on data engineering and/or data science.
  • Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
  • Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
  • Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
  • Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
  • Experience in the manufacturing, supply chain, or similar industries is a plus.
Benefits
  • Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
  • For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata engineeringdata sciencePythonPyTorchTensorFlowpandasnumpyprobabilitystatistics
Soft Skills
collaborationinfluencecommunicationproblem-solvingadaptability
Certifications
bachelor's degreeM.S. or PhD in computer scienceM.S. or PhD in machine learningM.S. or PhD in AI