Data Science & Machine Learning Jobs

You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. Exploring new modeling approaches and integrating machine learning and image processing methods. You will join the

Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. Direct experience with agentic systems, including tool use, environment design, or reinforcement learning. The vision for AIML FM Data organization is to improve Fou

Advanced Technologies Group (ATG), Pinterest's advanced machine learning team. Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration. Expertise in scalable realtime systems that process stream data.

Expertise in databases, data infrastructure, data governance. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate gr

Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results. As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. Experienced in solving problems with Machine Lear

You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. Design, implement, and validate deep learning approaches for large‑scale physiological time‑series (e.

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. Deep expertise in modern data technolo

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. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Goo

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. Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). We’re hiring a mid-to

As a member of the Cloud‑Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. We’re looking for an ASIC Design Engineer to help

You’ll partner closely with analytics and data science teams to bring experimental models into production and with finance and operations partners to build explainable, self‑optimizing systems that make forecasts and insights transparent, actionable, and continuously learning. Deep understanding

The role involves developing bare‑metal firmware that drives neural network model execution across custom ASIC‑based ML Accelerator chips, collaborating closely with architecture, design, and RTL teams to co‑develop firmware and hardware that enables machine learning on our accelerators. We de

Machine Learning Software Engineer (Part-Time | $80 –$120/hr). Machine Learning Software Engineer (Part-Time | $80 –$120/hr). Machine Learning Engineer or graduate-level experience in Computer Science, ML, or related coursework.

You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. You will join the Synopsys Proteus OPC modeling team, a group dedicated to advanced regression and etch modeling s

The ideal candidate will have a strong foundation in machine learning, statistical analysis, and causal inference. This role involves leading the design and deployment of advanced forecasting models and collaborating with finance teams. Responsibilities include mentoring junior scientists and implem

The ideal candidate will work collaboratively with experimental biologists and machine learning engineers, contributing to cutting-edge projects with significant scientific impact. A leading research organization in Palo Alto is seeking an experienced Machine Learning Research Scientist to develop l

As MLRE on the Data Foundation team, you’ll work on cutting edge research to define the data flywheel that makes the whole machine move. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal

Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns. Experience with time series analysis and anomaly detection techniques for identifying unusual patterns and potential sec