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Roboflow is hiring our first research engineer on the machine learning team to drive research initiatives that improve the growing suite of machine learning tools that underpin the Roboflow application.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Strong open-source portfolio publications at top-tier ML venues experience working in an early-stage startup environment understanding of how machine learning models fail in the wild. Experience pushing the cutting-edge in machine learning.
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Run machine learning experiments independently and in collaboration with product and research teams, and communicate results to internal stakeholders as well as the broader ML community via publications in top-tier conferences, industry conference presentations, deep technical blogs, and events.
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As a Machine Learning Engineer you will lead the framing, development, and deployment at scale of machine learning models to understand the risk of various classes of businesses.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Demonstratable experience building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions. Excellent understanding of data science techniques and algorithms, such as reinforcement learning, deep learning, machine learning, NLP, and predictive analytics.
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Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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Engineer, Machine Learning and Software Development. Familiar with modern DevOps infrastructure, including Docker, Kubernetes and Virtual Machine. The appointment will be on renewable contract terms with a competitive salary and performance-linked variable pay.
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Advanced knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, NLP, and predictive modeling. Google BigQuery: Proficiency in using Google BigQuery for big data analytics, including its ML capabilities for building and operationalizing machine learning models.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Build, evolve, and scale state-of-the-art machine learning system infrastructure powering Peloton's connected fitness data. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
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Quizlets success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Exciting opportunity at MSK: Join our team as an MRI Engineer/Research Associate, Quantitative MRI and Deep Learning! Collaborate with MSK Radiologists on developing a combination of pulse sequence programming, optimization, and new deep learning approaches as well as application of developed technology to clinical cancer cases.
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