Machine Learning Engineer II

XometrySao Paulo, Brazil2w ago

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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.
4+ years of experience in machine learning, focusing on data engineering and/or data science.
Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
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.
Experience with multimodal data processing (e.g., combining text, image, and 3D data).

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.