Latest Data Analysis & Reporting Jobs

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

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

Staff Machine Learning Data Engineer. You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. ML , including distributed systems, data extraction, transformation, and loading, and large

Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. Explore multi-modal and language-conditioned models to broaden the applicability of end-to-en

Solid foundation in machine learning, deep learning, and optimization algorithms. We are seeking a Machine Learning Engineer to join the core R&D team of TRAE, responsible for model training, optimization, quantization, and deployment. Design, train, and fine‑tune large language models (LLMs) that

Apply and adapt foundation‑model capabilities to real product workflows (LLM + tools/RAG, multimodal modeling, policy learning), including MCP‑style integrations where helpful. Strong ML fundamentals across supervised learning, sequence/time‑series modeling, and modern deep learning. Experienc

The ideal candidate will have a strong background in machine learning, natural language processing, and computer vision, with experience in creating models akin to OpenAI's GPT series and reasoning models. Machine Learning Engineer: LLM, VLM/VLA and reasoning models. Bachelor's or Master's degree in

The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting‑edge systems. The ideal candidate will have a strong background in parallel comput

Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka. Sunnyvale, California, United States Machine Learning and AI. Our team is in charge of data generation, introspe

A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our ex

A technology firm based in San Francisco is looking for a Senior Software Engineer specializing in Machine Learning. The ideal candidate will have 7-10 years of software development experience, including 5+ years in Machine Learning and a strong programming background in Java, Scala, and Python.

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

Reporting to the Platform Leader of Computational Microscopy, the Machine Learning Scientist will have the primary responsibility for developing innovative and impactful AI/ML models of intracellular dynamics and accelerating CZ Biohub’s ambitious goals of mapping dynamic cell systems across biolo

As a Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. Develop and implement systems to support th

Machine Learning Systems Engineer, Research Tools. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our Research Tools team, you'll be responsible for the cr

We’re an applied Machine Learning team that leverages state-of-the-art technologies—Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns—to deliver high-quality inferences at scale!. We are in search of a driven Machine Learning Engineer who has a strong un

LLM fine tuning, deep learning, or human‑in‑the‑loop machine learning). Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. We are dedicated to building machi

You have spent at least 6 months working in a leading Machine Learning research center (e. This is an R&D position in attention-based models. Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply).