Data Science & Machine Learning Jobs

Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations. We're seeking an Engineering Manager to build and lead the next generation of Pinterest's big data storage platform. Y

A leading asset management platform is seeking an Engineering Manager to lead cross-functional teams focused on AI/ML development. The role requires 4+ years in engineering management, strong leadership in AI/ML, and excellent communication skills. You will shape the technical vision, mentor teams,

We’re looking for an Engineering Manager We’re looking for an Engineering Manager to manage a cross‑functional team of Applied Machine Learning Developers, Data Scientists, and Software Developers responsible for end‑to‑end development and deployment of AI/ML products—including but not l

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 engineering, model development and prototyping, experimentation, deployment, mon

Extensive knowledge of geospatial libraries for raster data (e. My client is a cutting-edge geospatial intelligence company deploying an advanced constellation of satellites to capture and analyze unique satellite data, providing actionable insights for sectors aiming to change the world. The positi

Join the Services Data Science & Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, comp

A global consulting and technology firm is seeking an experienced Software Engineer with strong data pipeline engineering skills. The ideal candidate will have a background in coding (Python, Java, Scala) and expertise in distributed data warehousing and cloud services like AWS. Ideal applicants sho

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 engineering, model development and prototyping, experimentation, deployment,

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Should have progressing knowledge in Business Analysis, Business Knowledge, Software Engineering, Testing, Data Management, Architecture Knowledge and Technical Solution Design. Must be hands-on

Deep expertise in advanced AI techniques, including deep learning architectures (CNNs, RNNs, Transformers), reinforcement learning, generative AI, and multi-agent systems. Director of Engineering (Artificial Intelligence). Collaborate with AI research, data science, product management, and platform

Staff Engineer (Python, Back-End, Big Data). Responsibilities: Join as one of the technical leaders of our high-growth Cloud Engineering Team.

Sr GCP Data Engineer With Spark, Python. GCP Dataproc, GCS & BIGQuery experience. Hadoop, Hive or Spark, Airflow or a workflow orchestration.

We are looking for Senior Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. The Amazon Artif

Sr Data Engineer with GCP, Spark, Python Sunnyvale, CA (Onsite) Long Term Requirements: GCP Experience 2+ years of recent GCP experience Experience building data pipelines in GCP GCP Dataproc, GCS & BIGQuery experience 5+ years of hands-on experience with developing data warehouse solutions and