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. Xometrys 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.
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. Xometrys 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.
Xometry is looking for aMachine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into this role youll 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. Youll 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 Youll Do:
- Design build and optimize machine learning models to enhance Xometrys 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 bachelors 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.
Additional Qualifications
Experience with multimodal data processing (e.g. combining text image and 3D data).
#LI-Hybrid
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.
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.
Required Experience:
IC
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. Xometrys digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at...
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. Xometrys 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.
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. Xometrys 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.
Xometry is looking for aMachine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into this role youll 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. Youll 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 Youll Do:
- Design build and optimize machine learning models to enhance Xometrys 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 bachelors 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.
Additional Qualifications
Experience with multimodal data processing (e.g. combining text image and 3D data).
#LI-Hybrid
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.
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.
Required Experience:
IC
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