Senior Machine Learning Engineer
4 semanas atrás
Join to apply for the Sr. Machine Learning Engineer role at Xometry 1 day ago Be among the first 25 applicants Join to apply for the Sr. Machine Learning Engineer role at Xometry Get AI-powered advice on this job and more exclusive features. 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 Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding. You will play a crucial role in the Xometry platform and everything you do will matter.What You’ll Do: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 What We’re Looking For: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 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.For US based roles: 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.Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Xometry by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
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Senior Machine Learning
4 semanas atrás
Região Geográfica Intermediária de Sorocaba, Brasil BairesDev Tempo inteiroJoin to apply for the Senior Machine Learning & LLM Engineer - Remote Work | REF# role at BairesDev 4 months ago Be among the first 25 applicants Join to apply for the Senior Machine Learning & LLM Engineer - Remote Work | REF# role at BairesDev Get AI-powered advice on this job and more exclusive features. At BairesDev, we've been leading the way in...
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Senior Machine Learning + LLM Engineer
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Região Geográfica Intermediária de Juiz de Fora, Brasil BairesDev Tempo inteiro1 day ago Be among the first 25 applicants At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant...
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Senior Machine Learning Engineer, Recommendation Systems
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Região Geográfica Imediata de Criciúma, Brasil Launch Potato Tempo inteiroOverview Senior Machine Learning Engineer, Recommendation Systems — part of the Launch Potato team, a profitable digital media company with brands including FinanceBuzz, All About Cookies, and OnlyInYourState. The Discovery and Conversion Company connects consumers with leading brands through data-driven content and technology. Headquartered in South...
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Machine Learning Engineer
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São Paulo, Brasil TRACTIAN ?? Tempo inteiroOverviewMachine Learning Engineer at TRACTIAN. We’re hiring a Mid-Level Machine Learning Engineer to bridge the gap between data science and production systems. You’ll own end-to-end deployment of machine learning models, work with real-time sensor data, and build reliable services that power diagnostics for industrial equipment. This is a hands-on role...
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Machine Learning Engineer
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São Paulo, Brasil TRACTIAN ?? Tempo inteiroOverview Machine Learning Engineer at TRACTIAN. We’re hiring a Mid-Level Machine Learning Engineer to bridge the gap between data science and production systems. You’ll own end-to-end deployment of machine learning models, work with real-time sensor data, and build reliable services that power diagnostics for industrial equipment. This is a hands-on role...
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Machine Learning Engineer
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ENGENHEIRO DE MACHINE LEARNING
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Senior Machine Learning Engineer
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são paulo, Brasil IT Cardinal Partners LLC Tempo inteiroMachine Learning Engineer, AI Translation Location: REMOTE from Brazil (must) Duration: 12+ months About the Role: As a ML Engineer on the Translation AI team, you will play a critical role in accelerating the development and deployment of Translation AI. Machine Translation is critical to team objectives, as we operate on a global scale and in the travel...
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Principal Machine Learning Engineer, Ad Performance
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Região Geográfica Imediata de Criciúma, Brasil Launch Potato Tempo inteiroPrincipal Machine Learning Engineer, Ad Performance Join to apply for the Principal Machine Learning Engineer, Ad Performance role at Launch Potato About Launch Potato Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and...
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Região Geográfica Intermediária de São Paulo, Brasil BairesDev Tempo inteiro2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of...