Senior Data Engineer

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.

We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry’s core data pipelines and models used to understand key business performance.  Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter.

What you will do:

• Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions
• Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte.
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• Bachelor’s degree required, or relevant experience  
• 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
•  Proficiency in cloud data warehouse (e.g., Snowflake) best practices, optimization and usage
• Expert in ETL, data modeling and version control, dbt and GitHub preferred
• Develop and implement robust data models that ensure data integrity, consistency, and understandability for both internal and external consumers 
• Knowledge and understanding of AWS data ecosystem
• Experience with data extraction tools (Estuary, Airbyte, etc.)
• Experience with programming language like Python, JavaScript
• Experience with Business Intelligence tools, Looker preferred
• Familiarity with data streaming technologies
• Demonstrated experience with continuous integration/continuous deployment tools
• Partner closely with business, engineers, product managers, and other stakeholders to translate business needs into technical solutions
• Ability to work in a fast paced environment and shift gears quickly
• Must be able to work core aligned hours to US Eastern Time / GMT-5         

#LI-Remote

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Requirements:

• 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
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR) 

#LI-Hybrid

Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry.

As a Machine Learning Intern at Xometry, you’ll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to build and deploy models that solve complex problems in a dynamic and fast-paced environment.

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.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

What We Offer:

• Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain.
• Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility.
• Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more.

What We’re Looking For:

• Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA.
• Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
• Excellent Communication Skills: Strong verbal and written communication skills.
• Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results.
• Legal Authorization: Ability to provide proof of legal right to work in the United States.
• Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week.
• Provide Unofficial Transcript

The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.

#LI-Hybrid

Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry.

As a Machine Learning Intern at Xometry, you’ll work on real-world projects that directly impact our AI-driven solutions, collaborate with experienced machine learning engineers, and learn how to build and deploy models that solve complex problems in a dynamic and fast-paced environment.

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.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

What We Offer:

• Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain.
• Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility.
• Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more.

What We’re Looking For:

• Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA.
• Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026).
• Excellent Communication Skills: Strong verbal and written communication skills.
• Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results.
• Legal Authorization: Ability to provide proof of legal right to work in the United States.
• Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week.
• Provide Unofficial Transcript

The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position.

#LI-Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

Responsibilities:

• Use data science and machine learning principles to develop effective predictive models
• 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)
• 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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications:

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $140,000-$182,000 annually (+ commission OR + annual bonus) depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

Responsibilities:

• Use data science and machine learning principles to develop effective predictive models
• 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)
• 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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications:

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR)

#LI-Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

Responsibilities:

• Use data science and machine learning principles to develop effective predictive models
• 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)
• 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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications:

• Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred
• M.S. or Ph.D. in a related field highly desired
• 5+ years of experience with machine learning, statistical modeling, and optimization techniques
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR)

The estimated base salary range for new hires into this role is $140,000-$182,000 annually (+ commission OR + annual bonus) depending on factors such as job-related skills, relevant experience, and location.  We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

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

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

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

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

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

#LI-Hybrid

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

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

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities: 

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

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

The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

Responsibilities:

• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace.
• Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions.
• Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives.
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary.
• Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development.
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.
• Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches.
• Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
• 5+ years of experience in data science
• Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python.
• Proficient in applied statistics, including knowledge of probability distributions, confidence intervals, statistical tests (e.g., t-tests, ANOVA, Chi-Square), and power analysis.
• Experience with pricing algorithms and technology-driven product development.
• Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices.
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively.
• Must be able to work core hours aligned with US Eastern Time (GMT-5).
• Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension.

Responsibilities:

• Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace.
• Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions.
• Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry’s objectives.
• Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary.
• Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development.
• Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.
• Continuously iterate and improve solutions within a fast-paced, agile environment, addressing challenges with innovative, data-driven approaches.
• Foster a culture of collaboration, teamwork, and continuous learning, encouraging knowledge sharing and skill development within the team.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in applied math, computer science, data science, engineering, or a related field is highly preferred.
• 5+ years of experience in data science
• Strong expertise in SQL and Python (numpy, scipy, pandas, and scikit-learn preferred) and experience with API integrations using Python.
• Proficient in applied statistics, including knowledge of probability distributions, confidence intervals, statistical tests (e.g., t-tests, ANOVA, Chi-Square), and power analysis.
• Experience with pricing algorithms and technology-driven product development.
• Knowledge of scientific software principles, including version control, code reproducibility, and deployment practices.
• Demonstrated ability to work in a fast-paced, ambiguous environment and manage shifting priorities effectively.
• Must be able to work core hours aligned with US Eastern Time (GMT-5).
• Strong communication and interpersonal skills to collaborate with global teams and articulate complex technical information to non-technical stakeholders.

#LI-Remote

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#LI-Remote

Xometry is adding a Senior Computer Vision Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Qualifications:

• 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
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR) 

The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

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
• Work in an environment that thrives on teamwork and continuous learning opportunities

Requirements:

• 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
• 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
• Experience in the manufacturing industry is desired
• Must be a US Citizen or Green Card holder (ITAR) 

The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid