Machine Learning Engineer II

Xometry; São Paulo; Presencial; BRL 120.000 - 150.000; Tempo integral

Resumo da oferta

A leading technology firm in São Paulo is seeking a Machine Learning Engineer II to advance machine learning capabilities. In this role, you will design, deploy, and maintain statistical models while collaborating with data scientists to enhance business operations. Ideal candidates should have 4+ years of experience in machine learning, proficient in Python and familiar with cloud-based tools. An advanced degree in a related field is highly preferred. The position offers competitive compensation and career growth opportunities.

Qualificações

• 4+ years of experience in machine learning with a focus on data engineering or data science.
• Experience deploying and maintaining machine learning models in production environments.
• Strong background in probability, statistics, and optimization techniques.

Responsabilidades

• Design and optimize machine learning models to enhance the platform.
• Analyze large datasets to extract patterns and insights.
• Collaborate with teams to integrate models into production systems.

Conhecimentos

Machine Learning

Data Analysis

Python

Statistical Modeling

Collaboration

Formação académica

Bachelor’s degree in Computer Science or related field

Master's or PhD in Machine Learning or AI

Ferramentas

PyTorch

TensorFlow

AWS SageMaker

pandas

numpy

Descrição da oferta de emprego

Overview

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do

• 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.

Qualifications

• 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.

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.