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.

Xometry is looking for a talented Machine Learning Engineer to join our Data and Computational Science team. In this role you’ll work on our core Xometry Instant Quoting Engine (SM) where we tap into the power of Deep Learning and Computational Geometry to generate real-time quotes in seconds. You’ll be working on a code base that analyzes complex factors associated with manufacturing a custom designed part and returning a custom designed quote, all within a matter of seconds. This job requires a strong understanding of algorithm analysis, code design and machine learning.

As the scope of our business has expanded, the complexity of our software platform has expanded too. With a software team spread across several locations, building a culture focused on serving our customers, moving quickly, innovating, and building quality experiences is paramount. We are seeking a Software Engineer who is passionate about building great software systems and making those systems fast, usable, and reliable to develop and maintain the code that powers our unique machine learning powered functionalities.

Responsibilities:

• Using machine learning tools and techniques and knowledge of statistics to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes
• Using deep learning tools (such as TensorFlow, Keras, or PyTorch) to train a variety of neural network architectures (e.g., multilayer perceptron, convolutional networks, transfer learned networks) to develop effective predictive models
• Writing production-quality software in Python to implement predictive models and business logic in business software 
• Using cloud resources (e.g., Amazon Web Services) to prepare and process data 
• Writing software to prepare, clean, and sample data for use in developing predictive models 
• Using knowledge of probability and statistics to make defensible statistical inferences from data 
• Writing queries to query and extract data from product databases (requires knowledge of MongoDB) and join data from multiple sources
• Relentlessly iterating solutions within a fast-paced start-up environment where ambiguity and minimal structure are the norm 
• Solving challenging, uncharted engineering problems 
• Working in an environment that demands continual learning and development of new skills

Requirements:

• Bachelor’s degree in applied math, computer science, or engineering; M.S. or PhD in a related field preferred 
• 2+ years of experience with machine learning, optimization and fitting techniques 
• Experience with deep learning architectures and training methods is preferred
• Proficiency in linear algebra and statistics 
• Familiarity with RESTful APIs
• Demonstrated attention to detail 
• Familiarity with debugging and automated unit/regression testing 
• Familiarity with versioning systems such as Git
• Fluency in Python, numpy, scipy, pandas, and sklearn is preferred
• Must be a US citizen, green card holder, or a legal permanent resident of the United States

Xometry offers its employees:

• Health, Dental & Vision coverage 
• Commuter & Dependent Care benefit options
• 401k 
• Paid time off 
• Primary and Secondary Parental Leave
• Stock Options

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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.

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.