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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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We work closely with startups and large companies leading the way in machine learning, hardware acceleration, quantum computing, photonics, and bio tech in Boston, New York, and around the USA, to build teams that will change the technology landscape.
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We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems. PhD in machine learning or computer science.
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Machine Learning is at the heart of our automation approach, and we are looking for a senior modeler to lead our automation efforts across new Support surfaces. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Cytokinetics is dedicated to advancing the frontiers of technology through the strategic application of artificial intelligence, machine learning, image analysis, and computational biology and chemistry.
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As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines.
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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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You'll serve as a technical domain expert in machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our applications.
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We are seeking a Senior Machine Learning Engineer to join our team and help with scaling our AI-powered product, which is revolutionizing how organizations process their legal data and operate around it.
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Machine Learning Engineer, Commerce Fraud Risk (Modeling) This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques. You will: Develop, implement, and maintain machine learning models for fraud detection.
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In this role, you’ll be a part of the Data Science and Platform (DSP) team responsible for developing innovative machine learning (ML) solutions in the fintech industry. The ideal candidate will demonstrate proficiency in data analysis, machine learning, and software engineering, while also possessing the ability to effectively collaborate with team members who have diverse skill sets.
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Ph. D. in computer science, machine learning, computational biology, systems biology, or a related discipline. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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Title: machine operator Company: Giesecke Devrient in San Francisco, CA
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The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
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Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
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Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.