Data Science & Machine Learning Jobs

As a Senior Machine Learning Engineer – Learned Planner / Reinforcement Learning, you will develop and deploy machine learning models that drive decision-making for autonomous trucks. Experience applying reinforcement learning, imitation learning, or sequence modeling to robotics, autonomous syste

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod

You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. In this role, you will help lead the evolution of AcuityMD's core healthcare data assets by applying statistical and machine

Remove extra metadata from the top of the page.

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost

Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Experience in modern deep learning architectures and probabilistic models.

Depth of technical understanding in cloud, big-data platforms and machine learning. EPM, Applied Machine Learning, AI & Data Platforms (AiDP). Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications.

Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Quick learning and adaptability to new areas. Relevant education, such as a major in Data Science, Business Analytics, or Computer Science.