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Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio
As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. Mentor and train other engineers througho
PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience. Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb
Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datasets, to improve the coverage and signal quality of our core data assets. You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and
Designs data collection tools, manages databases and other project resources, participates in statistical data analysis, and prepares papers for publication and presentation. Coursework or equivalent experience in clinical research, technical writing, statistics, research methodology, database manag
Engineering Design Systems, Inc in Wayne, MI is offering a part-time Office Intern position. The role includes data entry, outreach, and administrative support to program staff while ensuring customer contact documentation.
If you also bring deep expertise in machine learning, that's a major plus. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.