Data Science & Machine Learning Jobs

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. Build synthetic data pipelines to generate enterprise environments to use for RL post-training. Any information we collect in connection with your application wi

Use Python to manipulate and prepare data; create visualizations; analyze data. Data Analyst (Tableau, SQL, Python). Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years.

Hive) 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. Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Mach

The ideal candidate will work collaboratively with experimental biologists and machine learning engineers, contributing to cutting-edge projects with significant scientific impact. A leading research organization in Palo Alto is seeking an experienced Machine Learning Research Scientist to develop l

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. Ge

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. We believe massive scale th

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

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and collaborating with multi-functional teams to deliver high-impact, production-quality solutions. We are seeking a Mach

The ideal candidate will have a strong background in machine learning and a passion for developing innovative solutions.

Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and "cold start" label challenges. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. Expe

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

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.

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.