Senior Machine Learning Engineer

July 31

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Xometry

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Manufacturing • Technology • Engineering

Xometry is a leading digital manufacturing marketplace, offering a comprehensive range of on-demand manufacturing and production solutions. Specializing in 3D printing, CNC machining, injection molding, and sheet metal fabrication, Xometry serves industries such as aerospace, automotive, medical, and electronics. The company provides instant quoting, DFM feedback, and quality assurance through its massive global supplier network, enabling clients to efficiently manage prototyping, high-volume production, and custom part manufacturing. Xometry emphasizes environmental sustainability with initiatives like carbon emission offsetting, and offers features such as the Xometry Instant Quoting Engine and Teamspace for streamlined project collaboration.

1001 - 5000 employees

Founded 2013

💰 $75M Series E on 2020-09

📋 Description

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform • Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers. • You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform • Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform • Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations • Monitor machine learning models and AI performance and troubleshoot issues as they arise • Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

🎯 Requirements

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc • Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow) • Successful candidates in this role need to be able to bridge state of the art approaches to real world impact • A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems • An engineer with a self-driven attitude who can own problems and deliver solutions • Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing • A cloud practitioner who values the "shift-left" mentality by building systems with Infrastructure as Code, not console clicking • Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis • Experience building and consuming CI/CD pipelines • Someone who knows their way around the command line and has experience working with *nix systems • 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products • 3+ years experience leading cross-team engineering efforts • Strong execution skills in project management