…The Data department at Melio collaborates with colleagues from various disciplines—Research Engineers, Analysts, and other Data Scientists—on statistical methods and machine learning…

…Learn more at applied.co http://applied.co. We are an in-office company, and our expectation is that full-time employees primarily work…

…You will work with other software development engineers and Applied Scientists every day to build, deploy, and optimize machine learning models that automate real…

…A machine learning engineer role. You'll experiment with AI, but you won't build vector databases or train models. What You will Do…

…PhD in Computer Science, Machine Learning, Computational Biology, Applied Mathematics, Physics, or equivalent practical experience. 2 years of experience (industry or internships) in building…

…our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural…

…Oversee the end-to-end lifecycle of machine learning models, predictive analytics, and feature store infrastructure. Collaborate with business partners to identify high-impact…

…Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and…

…our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural…

…in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl…

Are you interested in building intelligence systems from the ground up? Are you interested in working with Applied Scientists, Big Data Engineers and Software…

Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms…

…learned. - Present findings at design reviews, technical workshops, and leadership reviews across regions. - Contribute to intellectual property generation through public disclosures and patent applications…

…in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in Python, Perl…

…consulting, or government applying economic methods to substantive problems. • Experience in applied economic analysis with big data, causal inference, machine learning and data science…

…Key job responsibilities - Design, build, and operate scalable machine learning pipelines and online serving systems - Work closely with applied scientists to optimize ML model…

…Other responsibilities include: - Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. - Use machine learning…

Lead a data science team delivering machine learning solutions that improve operations, controls, and employee experience. You are an experienced data scientist who combines…

…Engineering teams. - Advise teams on privacy laws related to artificial intelligence, machine learning, clinical data, product development, secondary use of data and the responsible…

…THE ROLE As an Associate GC, Product (Data Products, Machine Learning, and AI), you'll play a pivotal role as the go-to legal…

…THE ROLE As an Senior Product Counsel (Data Products, Machine Learning, and AI), you'll play a pivotal role as the go-to legal…

…About The Role Join the team building the machine learning platform to power fleet-scale humanoid robotics. As a senior engineer on the ML…

…Have strong programming skills and fluency in data manipulation (SQL, Spark, Pandas) and Machine Learning (classical ML and Deep Learning) tools. Have strong analytical…

…5 years of industry experience in a data scientist, machine learning engineer, or software engineering role with a focus on machine learning applications. Experience…

…You will build full stack solutions that handle extremely large volumes of critical data harnessing the power of NoSQL, Machine Learning, Big Data, and…