Senior Machine Learning Engineer

hace 4 semanas

Ciudadela, Buenos Aires, Argentina Xometry A tiempo completo
Xometry's Vision: We're on a mission to revolutionize the manufacturing industry with cutting-edge AI and machine learning technologies. As a Senior Machine Learning Engineer, you'll play a crucial role in driving this vision forward.

About the Role: We're seeking an experienced Machine Learning Engineer to join our team. Your primary responsibility will be to develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. You'll work closely with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations.

Key Responsibilities:
  • Explore new machine learning opportunities, research, and perform proof of concepts to bring new 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
  • Lead the evaluation of emerging technologies, identify areas for improvement, and develop new features while ensuring the reliability and scalability of 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

What We Offer:
  • A chance to work with a cutting-edge technology stack and contribute to the development of innovative AI and machine learning solutions
  • A collaborative and dynamic work environment with a team of experienced engineers and innovators
  • A competitive salary and benefits package, including health insurance, retirement plan, and paid time off
  • Opportunities for professional growth and development, including training and education programs
  • A commitment to diversity, equity, inclusion, and belonging, with a focus on creating a positive and inclusive work environment

About Xometry: Xometry is a leading digital manufacturing platform that connects customers with a network of manufacturing partners. We're committed to revolutionizing the manufacturing industry with cutting-edge AI and machine learning technologies. Our team is passionate about innovation, collaboration, and delivering exceptional results. If you're a motivated and experienced Machine Learning Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.

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