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Data Analyst (Tableau, SQL, Python). Use Python to manipulate and prepare data; create visualizations; analyze data. Please make sure that candidates have been using Tableau, SQL, and Python on a weekly basis for the past 5+ years.
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Role: Data Scientist – Machine Learning Focus. As a Data Scientist / Data Analyst / Data Science Specialist for Adide
As a Machine Learning Engineer in the International Data Engineering team, you will join a phenomenal team of passionate engineers to design, implement and qualify Apple Intelligence features globally across a wide variety of Apple's products. Hands-on experience developing end to end machine learni
Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand what the evaluation
Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg. Hive) Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as i
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
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
Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
The role involves leading the design and deployment of large-scale time series forecasting models and continuously enhancing forecasting strategies using advanced machine learning methods. Proficiency in Python, SQL, and causal inference techniques is essential. A leading analytics firm is seeking a
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie
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. Design, develop, and maintain sc
The ideal candidate will evaluate machine learning models and apply statistical analysis to validate changes while building backend infrastructure for map data. Computer Science or a related field with over three years of experience in data processing frameworks.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie
Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and "cold start" label challenges. Establish ML infrastructure foundations: Partner with platform engineering team to design feature services, model training pipeline, model serving standards, an
Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Delivering with Uber is a great way to supplement your part time or full time income. Delivering with Uber is an alternative to a p
Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly. Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Delivering with Uber i
Delivering with Uber is a great way to supplement your part time or full time income. Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly. Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requir
Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly. Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary). Delivering with Uber i