Data Science & Machine Learning Jobs

We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. PhD in computer vision, machine learning, robotics, or related fields. Experience across both classical 3D computer vision and deep learning.

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or. BA degree in computer vision, computer graphics, machine learning or related field. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like

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. Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvect

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.

MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues. Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work o

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

Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation

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. We are looking for an exceptional candidate to help arch

A dynamic robotics company is seeking a Machine Learning Engineer to enhance the capabilities of its robots through advanced deep learning solutions. Located in San Francisco, the position requires a strong background in Python and relevant educational qualifications.

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

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.

Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e. Senior Machine Learning Engineer, Computer Vision - Robotics. We are seeking an exceptionally motivated and experienced Seni

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

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

Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns. Experience with deep learning frameworks such as PyTorch and TensorFlow, Computer Vision, NLP, Large Language Models, Ge

Potential internships require research experience in at least one of the following areas: 3D Vision and Scene Understanding Optical Flow/Scene Flow SLAM Depth Estimation Digital Twins Human-Centric Vision Human Motion Modeling Human avatar creation (Gaussian Avatar, Neural Human Avatars, Text to Ava

Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. 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.