Staff Machine Learning Engineer - Generative AI Gaithersburg, MD

Xometry Inc.; Gaithersburg (MD); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

401(k) match

Medical, dental and vision insurance

Generous paid time off

Job summary

Xometry Inc. is seeking a Staff Machine Learning Engineer in Gaithersburg, MD, to lead the Generative AI team and set the technical direction for innovative solutions. The role involves developing cutting-edge models and deploying them on cloud platforms like AWS.

Successful candidates will have a deep expertise in generative models, strong programming skills in Python, and experience with multimodal data. A competitive salary range of $140,000–$230,000 annually plus benefits, including a 401(k) match, is offered.

Qualifications

• 5+ years of experience in machine learning or data science.
• Experience with generative models, LLMs, or computer vision.
• Ability to communicate effectively with stakeholders.

Responsibilities

• Set the technical direction for the Generative AI team.
• Shape the AI roadmap, identifying valuable generative AI opportunities.
• Develop and deploy large language and generative models.

Skills

Deep expertise in generative models

Large-scale language and vision models

Proficiency in Python

Hands-on experience with multimodal data

Strong software engineering skills

Education

Bachelor’s degree in Computer Science, Machine Learning, AI, or related field

Advanced degree (M.S. or Ph.D.)

Tools

PyTorch

TensorFlow

pandas

NumPy

Terraform

Job description

Gaithersburg, MD

Staff Machine Learning Engineer

Responsibilities

• Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high‑impact innovation.
• Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry’s marketplace.
• Build cutting‑edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
• Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
• Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.
• Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.
• Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
• Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
• Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications

• Bachelor’s degree required; advanced degree (M.S. or Ph.D.) in Computer Science, Machine Learning, AI, or related field is a big plus.
• 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
• Strong track record working with large‑scale language and vision models (Transformers, GPT, VLMs).
• Hands‑on experience with multimodal data (text, images, 3D).
• Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
• Solid grounding in probability, statistics, and optimization for generative modeling.
• Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
• Strong software engineering skills, including object‑oriented programming, testing, version control, CI/CD best practices and IaC (Terraform preferred).
• A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
• Background in manufacturing, supply chain, or related industries is a plus – but curiosity and drive matter more.
• Must be a U.S. Citizen or Green Card holder (ITAR compliance).

Compensation & Benefits

The estimated base salary range for new hires into this role is $140,000 – $230,000 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 and other wellbeing resources.

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.