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. Jo
A leading research organization in Palo Alto is seeking an experienced Machine Learning Research Scientist to develop large-scale models for biological research. The ideal candidate will work collaboratively with experimental biologists and machine learning engineers, contributing to cutting-edge pr
The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecas
The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. As a Senior Machine Learning Engineer, you will join end-to-end development of large language models and agentic systems, from training pipelines to evaluation frameworks and
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. Understanding of the full ML lifecycle: data collection, model training, d
Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorF
Machine Learning Data Scientist. Demonstrated success developing deep learning models for large‑scale time‑series or sensor data, ideally physiological or wearable signals, including foundation‑model and self‑supervised/multimodal approaches. Excellent scientific writing with a record of fir
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. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and au
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
We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod
In short, you'll turn first-principles data science, neuroscience, cognitive science, and machine learning into a product that scales across industries. Fluent in deep learning for multimodal time-series data (e. Our team is building core systems in behavioral modeling, causal inference, forecasting
Exploring new modeling approaches and integrating machine learning and image processing methods. You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. You will join the
The successful candidate will have expertise in developing enterprise applications on Spark/Hadoop, as well as experience with NoSQL databases. A leading technology company is seeking a Big Data Engineer in San Jose, CA for a long-term contract. This position offers an exciting opportunity to work o
Experience building data pipelines using tools such as Airflow, Spark, or similar orchestration systems, and working with BigQuery or other large‑scale data warehouses. We're looking for a Machine Learning Modeler to design and scale the next generation of intelligent systems that power data‑dri
As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enables teams across Apple to discover, curate, version, share, process, and consume ML datasets with enterprise-grade compliance and governance. Experience building data pipelines tha
Apply machine learning, NLP, and deep learning methods to massive structured and unstructured data sets, classify documents, perform context analysis and extract complex patterns. As a Machine Learning Engineer, you will work on large-scale ML systems that enable organizations to discover, classify,
Exploring new modeling approaches and integrating machine learning and image processing methods. You are motivated by the prospect of continuous learning and growth, and you embrace new technologies such as machine learning, computational lithography, and advanced image processing. You will join the