Latest Data Analysis & Reporting Jobs

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. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, a

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. Role: Data Scientist – Machine Learning Focus. As a Data Scientis

We are in search of a driven Machine Learning Engineer who has a strong understanding of LLMs and Generative AI and is excited to explore the rapidly evolving landscape of LLM-powered agents, tool-use models, and advanced reasoning techniques. Strong experience in Machine Learning, with emphasis on

We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging. Hand

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 groundtruth benchmarks. Expertise in databases, data infrastruct

Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB). We are achieving this by collecting diverse robot teleoperation data as well as human data at large scale and training billion-parameter, general-purp

You have spent at least 6 months working in a leading Machine Learning research center (e. Live AI" challenges around long sequences and changing data. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think.

In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. Producing safety evaluations that uphold Apple's

You have spent at least 6 months working in a leading Machine Learning research center (e. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven in

Preferred Qualifications Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining

The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions.

What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie

The ideal candidate will evaluate machine learning models and apply statistical analysis to validate changes while building backend infrastructure for map data. Computer Science or a related field with over three years of experience in data processing frameworks.

Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data sc

Create methods and recipes for continuous data intake, selection and incremental updates of large models, develop methods for data mining and recipes for automated data collection/model update flywheels. We have access to millions of miles of driving data from a diverse set of sensors, enabling engi

Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow. Strong foundation in computer vision, including experience with deep learningbased vision models and at least one area such as detection, segmentation, 3D vision, geometric methods, tracking, or se

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact o

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