Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook Small, collaborative team with deep expertise in NLP and privacy
Strong foundational knowledge in machine learning and deep learning algorithms. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid
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. Clear experiences with constructing high quality data to use to improve an LLM/Agent. You’ll also receive benefits including, but not limited to: Comprehensive
Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our dri
Undergraduate students studying Data Science or Computer Science will examine how AI and machine learning are redefining job roles, organizational structures, and essential skills. Artificial Intelligence, Data Science, or the management of teams and/or products using agentic AI. Proficiency in (or
PhD new grads or MS grads with 1-3 years of experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, etc. Ex
Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Proficiency in Python, C++,
Strong foundational knowledge in machine learning and deep learning algorithms. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA. Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
The Community You Will Join: User Listing Marketplace Intelligence Machine Learning (ULM-ML) team: The ULM-ML team supports host personalization products and provides data driven solutions to achieve superior host experience on Airbnb. Hive) Industry experience building end-to-end Machine Learning i
Machine Learning Engineer - Perception Offline Driving Intelligence. Machine Learning Engineer - Perception Offline Driving Intelligence. Machine Learning Engineer (I, II, or Sr.
The ideal candidate will have a strong foundation in machine learning, statistical analysis, and causal inference.
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
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
Machine Learning libraries: Pytorch, Jax, model and data parallelism. 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 robotics. Data Science frameworks: Databri
The ideal candidate will hold a Master's or PhD in a relevant field and have experience with large language models and deep learning. A leading AI research institute in Sunnyvale, California, seeks a Research Scientist specializing in Natural Language Processing (NLP) to advance cutting-edge technol
As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation syste
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 and o
Technology Lead | Big Data - Hadoop | Hive.
Research Artificial Intelligence. We are looking for a researcher to join our team in the field of artificial intelligence. The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions.
Machine Learning Data Scientists. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting. Ability to use Python/PySpark for exploratory data analysis and modeling.