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

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

Expertise in databases, data infrastructure, data governance. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks. The project scientist will make significant and creative contributions in the area of machine learn

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

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

Machine Learning Data Scientists. Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization. Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.

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

Applied Machine Learning Engineer, Circuit Design - New College Grad 2026 page is loaded## Applied Machine Learning Engineer, Circuit Design - New College Grad 2026locations:. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting

Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB). Machine Learning libraries: Pytorch, Jax, model and data parallelism. We are an ambitious and rapidly growing team pushing the boundaries of what is p

As an ASIC Design Verification Engineer, you will use design and verification expertise to verify complex digital designs. Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification s

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.

Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and "cold start" label challenges. Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines. MLE/engineering collaboration experience, or direct MLE