Data Science & Machine Learning Jobs

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

We are seeking a Data Scientist II with strong experience in computer vision and deep learning to join our document verification team. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experien

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

DeepWalk’s computer vision platform for automated sidewalk inspection. Build a strong understanding of our current computer vision systems and data pipelines. DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks.

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

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You Will Be Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems Coming up with large scale data collection techniques for training Deep Neural Nets Driving the development of new algorithms that dramatically improve our existing met

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.

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

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. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF

Relevant education, such as a major in Data Science, Business Analytics, or Computer Science. 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.