Data Science & Machine Learning Jobs

Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiment

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 | San Jose, CA. Computer Science, Artificial Intelligence, Machine Learning, or

Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. The Community You Will Join: User Listing Marketplace Intelligence Machine Learning (ULM-ML) team: The ULM-ML team supports host personalization produc

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

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA.

Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns. Bring your machine learning and applied research expertise to build the next generation of cloud-delivered data security

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. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal

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. A technology firm based in San Francisco is looking for a Senior Software Engineer specializing in Machine Learning.

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. Pu

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. We are achieving this by collect

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

Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects. Sitting at the intersection of robotics, machine learnin

The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions. Research Artificial Intelligence. We are looking for a researcher to join our team in the field of artificial intelligence.

With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, l

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 self-supervised learning. Hands-on experience developing machine learning models using frameworks such as

This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas; Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next

We also welcome couriers who have worked with other peer-to-peer ridesharing or delivering networks.

We also welcome couriers who have worked with other peer-to-peer ridesharing or delivering networks.

We also welcome couriers who have worked with other peer-to-peer ridesharing or delivering networks.

We also welcome couriers who have worked with other peer-to-peer ridesharing or delivering networks.