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Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. Expertise in databases, data infrastructure, data governance. The project scientist will make significant and creative contributions in the area of machine learn
Contact-volume forecasting: data pipelines, statistical/ML models and inference services that predict ticket volumes, agent demand and time to resolution. Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to delive
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. As MLRE on the Data Foundation team, you'll work on cutting edge research to define
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
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 have deep experience with data engineering for ML, including distributed systems, data extractio
A technology consulting firm located in San Francisco is seeking a skilled Power BI Developer to design and implement reports and dashboards that meet business needs. The ideal candidate will have strong influence over stakeholders, work collaboratively to define KPIs, and integrate Power BI with ot
We’re hiring our Founding ML Engineer, the first full-time machine learning hire who will turn research and data into production models. Exposure to time‑series modeling, forecasting, or reinforcement learning. Maintain code quality: version control, testing, reproducibility, and documentation.
In the Data Search Department, you will develop and apply cutting-edge machine learning technologies in real-time large-scale systems serving billions of search requests daily. General Hire) Machine Learning Engineer, Data-Search - San Jose - 2026 Start (PhD). General Hire) Machine Learning Engineer
Design, build, and maintain large-scale data processing workflows, ensuring efficiency, scalability, and reliability across diverse data sources and modalities. Hands-on experience developing machine learning models using frameworks such as PyTorch or TensorFlow. We are seeking a Machine Learning En
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 with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning model
Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions (e. Experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or relate
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. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland.
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. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently de
Machine Learning Data Engineer - Systems & Retrieval. Understanding of data validation and quality assurance in machine learning workflows. Mining and organizing large unstructured datasets, both in research and production environments.
This role involves evaluating machine learning models for map generation, collaborating on automation, and building infrastructure for processing diverse map data. Ideal candidates will possess a degree in Computer Science or related field, with significant experience in statistical analysis and dat
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
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. We’re an applied Machine Learning team that leverages
The Robotics Machine Learning Team’s charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in unstructured environments such as homes or factories. To accomplish this, we are creating a l
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI. 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. As MLR
The ideal candidate should have a Bachelor’s degree, at least 2 years of experience in BI development, and strong hands-on skills in SSIS, SSRS, SSAS, and Power BI. A technology solutions provider in San Francisco is looking for a skilled Microsoft BI Developer to design and maintain business inte