Latest Data Analysis & Reporting Jobs

Contact-volume forecasting: data pipelines, statistical/ML models and inference services that predict ticket volumes, agent demand and time to resolution. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern supp

ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematician

Responsibilities About the team: TRAE (The Real AI Engineer) is an intelligent engineer capable of understanding requirements, orchestrating tools, and independently completing development tasks, providing users with end-to-end software generation capabilities. You will work closely with top enginee

AI development, infra, and product, and enjoy building the data systems that make great models possible. You’ll design the systems, tools, and strategies that turn the world’s engineering knowledge - text, geometry, and design intent - into high-quality training data. You’ll collaborate with M

The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools within UCSF's APeX Enabled Resear

Prototype, fine-tune, and evaluate LLM-powered features—from conversational insights to practice-moment nudges—using Python and Jupyter notebooks. Bias toward action, curiosity, and comfort navigating ambiguity in a fast-moving startup environment. Get notified about new Machine Learning Enginee

The ideal candidate has over 5 years of experience with a strong foundation in Microsoft technologies such as Power BI and SQL. Responsibilities include leading data visualization strategies and utilizing data analysis to drive business decisions. A technology consulting firm in San Francisco is see

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed

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, and oversee AI applications that deliver real impact. You'll also receive benefits including, but not limited to: Comprehensive health, de

The ideal candidate should have experience with delivering ML compiler solutions, understanding of NPU hardware architecture, defining scalable algorithms that enable efficient problem mapping, interfacing with customers to understand the requirements, and driving a team to develop solutions. AMD an

Solid understanding of core machine learning concepts, algorithms, and best practices including unsupervised learning and reinforcement learning frameworks. This role is focused on diving deep into complex datasets to uncover hidden patterns and build predictive models related to pharmacy data. Desi

Eligible employees have day-one access to medical, dental, and vision insurance; a 401(k) with company match; paid parental leave; short- and long-term disability; life insurance; wellbeing benefits; and paid time off (holidays, sick days, and personal time). Design, develop, evaluate, and iterate o

As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. The Offline Driving Intel

The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI’s reasoning models. Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). C

As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios. Explore multi-modal and language-conditioned models to broaden the applicabi

As a bridge between our pre‑training and fine‑tuning teams, you’ll build critical infrastructure that directly impacts how our models learn from and interpret data. Machine Learning Systems Engineer, Research Tools. Create robust testing frameworks to validate tokenization systems across diver

Understanding of data validation and quality assurance in machine learning workflows. Ensuring compliance and access control in data handling, with security and auditability in mind. You’ll play a central role in architecting retrieval systems for LLMs and enabling scalable training and inference

To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. The Robotics Machine Learning Team’s charter is to push the frontiers of research in robotics and machine learning t

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 learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and