Data Science & Machine Learning Jobs

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

The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. This role blends deep modeling expertise

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

PhD (ideally with industry internship experience), or MSc with 3+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred. Machine Learning Data Scientist. You’ll contribute end to

The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with lar

Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.

The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data. Experience with data-centric ML development and data curation. Master's or PhD degree in a field relevant to auto

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Machine Learning Engineer, Monetization Engineering. Machine Learning Engineer, Monetization Engineering.

AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. The problem space is rich: full-system simulation, multi-subsystem integration, QEMU development, performance at scale, machine learning at the bleeding edge. Machine Learning (ML) background not required.

Reporting to the CTO, you will be a hands-on leader for the team building the in silico components of ATLAS, spanning machine learning, data science, cheminformatics, and software engineering. We seek a hands-on leader for the team building the in silico components of ATLAS, spanning machine learnin

End‑to‑end hands‑on experience with building data processing pipelines, large‑scale machine learning systems, and big data technologies (e. Degree in computer science, machine learning, statistics, or related field. Build cutting‑edge technology using the latest advances in deep learning a

Expertise in one or more areas: computer vision, multimodal learning, 3D Graphics, or large-scale representation learning. Senior Machine Learning Engineer, Multimodal AI, Computer Vision and Graphics - PhD Early Career. We’re looking for PhD candidates passionate about the intersection of compute

In short, you'll turn first-principles data science, neuroscience, cognitive science, and machine learning into a product that scales across industries. Fluent in deep learning for multimodal time-series data (e. You stay hungry to learn, because better ideas are always out there.

Understanding of data structures, data modelling and software engineering best practices. You will work with a wide variety of clients to deliver the latest data science and big data technologies. AI, Data Science, and/or Machine Learning.

You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Understanding of data

As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enables teams across Apple to discover, curate, version, share, process, and consume ML datasets with enterprise-grade compliance and governance. Experience building data pipelines tha

Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction