Data Science & Machine Learning Jobs

The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques. Deep understanding and

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

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. Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pine

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

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 production deployment. Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or

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

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. Clear experiences with constructing high quality data to use to i

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 (ideally with industry internship experience), or MSc with 3+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field; healthcare or health‑tech experience preferred. You’ll contribute end to end by designing and validating

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutio

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 through data-driven

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 libraries: Pytorch, Jax, model and data parallelism. Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB). Data Science frameworks: Databricks.

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

Sr Machine Learning Engineer – Responsible AI. Deep familiarity with cutting‑edge ML architectures (e. Masters or PhD in Computer Science or related fields.

Experience building data pipelines using tools such as Airflow, Spark, or similar orchestration systems, and working with BigQuery or other large‑scale data warehouses. You’ll partner closely with analytics and data science teams to bring experimental models into production and with finance and

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

Deep expertise in modern data technologies (Apache Iceberg, Spark, S3, distributed systems), data modeling, schema evolution, and efficient storage formats (Parquet, Arrow, ORC). As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enabl