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. ASIC Design Engineer, Cloud-Scale Machine Learning A
BS/MS in Computer Science, Data Engineering, or equivalent experience and 6+ years experience applying data science techniques to real business problems. Strong programming and data skills, including SQL and Python, and experience with large-scale data pipelines. Experience with data quality, valida
You have experience with clustering, classification, sentiment analysis, time series, and deep learning. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies a
A tech company focused on innovative reading solutions seeks a Machine Learning Engineer II to design and optimize ML systems that serve millions in real time.
Recent graduate or final‑year PhD student in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field. Machine Learning Engineer PhD (Full Time) – United States. We are seeking a PhD‑level Machine Learning Engineer to build and deploy next‑gener
Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc. Responsible for translating the requirements into a data science problem, architect and build solutions. Experience with ML/DL algorithms with frame
Machine Learning libraries: Pytorch, Jax, model and data parallelism. Data Science frameworks: Databricks. We are an ambitious and rapidly growing team pushing the boundaries of what is possible in robotics, leveraging recent, cutting-edge breakthroughs in machine learning-enabled, data-driven robot
We’re looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip’s foundation model for manufacturing and CAD. Staff Machine Learning Data Engineer. You’ll collaborate with Machine Learning Engineers to run data‑driven experiments, analyze resul
Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field. A singular technology p
Strong knowledge of experimental design and statistical analysis. Qualitative and quantitative data analysis/synthesis. Perform multivariable statistical analyses (ANOVA, Mixed model analysis, linear & logistic regression, correlation) using SPSS.
The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions.
This role focuses on building a scalable big data platform to support real-time and batch data processing. Candidates should have at least 3 years of software engineering experience and 2 years in data engineering, possess strong problem-solving skills, and have expertise in Big Data technologies li
A leading technology company in Cupertino is seeking an experienced Data Engineer to develop large-scale data pipelines using Big Data technologies.
As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and how data characteristics impact model performance. Strong background in statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component an
Design and deploy machine learning models that take camera images, lidar data, and radar data and estimate weather conditions. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learni
Candidate should have minimum 4 years of experience with Big Data Testing. Big Data Test Analyst with experience in Hadoop, Hive, UNIX and good communication.
As a Machine Learning Data Engineer - Systems & Retrieval, you will build and optimize the data infrastructure that fuels our machine learning systems. This includes designing high-performance pipelines for collecting, transforming, indexing, and serving massive, heterogeneous datasets from raw web-
Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
Data Products include, but are not limited to, data models and ETL pipelines, reporting dashboards, business and product impact sizing, decision/ROI/trade-off frameworks, ML-based classification and scoring models, fine-tuned foundation models. You will be responsible for building 0-1 and big-data-s