Data Science & Machine Learning Jobs

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Degree in computer science, machine lear

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. We limit the personal data we collect to that which we believe is a

You'll set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences. Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, a

You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. Staff Machine Learning Data Engineer. ML frameworks and data formats (Parquet, TFRecord, HuggingFace datasets, etc.

Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end‑to‑end development and deployment of AI/ML products—including but not limited to predictive & prescriptive maintenance models, intelligent work recommendations, LLM‑driven procedures, and real��

OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch Experience with natural language processing and deep learning Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for

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 learning & data analytics. Expertise in databases, data infrastruct

Technology – Data and Decision Science – AI Native Engineering AI/Machine Learning Engineer, Manager Consultant The opportunity Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. Understanding of data structures, data m

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around

We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team's technical direction, strategic planning and execution. Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members. Experience leading and working on a large

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e. Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 600 million users around

We are seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing. In this role, you will contribute to the development of next-generation real-time sensing and data intelligence systems by designing algorithms, building scalable data pipelines, and

Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks. Manager, Machine Learning Engineering, Content Ranking. We're looking for a Machine Learning Engineering Manager to join the Content Ranking team at Sna

ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. Lead Machine Learning Engineer (Gen AI, Python, G

Senior Machine Learning Engineer with C Engineering Experience. Strong expertise in Machine Learning Algorithm Development. The role involves developing and optimizing machine learning algorithms, and collaborating with cross-functional teams to innovate AI-powered technologies.

Applied Data Science & Machine Learning Leader - Global Forecasting. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. Own the end‑to‑end modeling lifecycle, including scoping, feature enginee

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,