Data Science & Machine Learning Jobs

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

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. Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), da

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. Comfortable querying an

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA. Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow. Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA.

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

Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our dri

Position Overview 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 th

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. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development s

Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS, or experience in data mining/machine learning competitions (e. General Hire: Machine Learning Engineer (Data and Eng, USDS) - 5 Start (MS). Join to apply for the General Hire: Machine Learning Engineer (Data and Eng, USDS) -

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

A leading tech company in Mountain View is seeking a skilled engineer with over 7 years of experience in Apache Flink and Spark, along with strong expertise in Java and Python. This mid-senior level role focuses on developing and enhancing data pipelines while leveraging AWS technology.

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

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

A leading technology company is seeking a Big Data Engineer in San Jose, CA for a long-term contract. The successful candidate will have expertise in developing enterprise applications on Spark/Hadoop, as well as experience with NoSQL databases. This position offers an exciting opportunity to work o

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

Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model p