Top Data Engineer Jobs in Los Angeles, CA
Lead the building of company's ontology, collaborate with stakeholders, solve problems with data, become a trusted resource for leadership.
Seeking an experienced engineer to join the Machine Learning Foundations team to build self-service tooling for the model lifecycle, collaborate with internal customers, and work on the entire machine learning lifecycle.
Seeking a Staff Data Engineer to build data pipelines and applications using emerging technologies like generative AI and large language models. The role involves designing and scaling data pipelines, partnering with internal stakeholders, and working with data engineers and data scientists. Responsibilities include building reliable and scalable pipelines for large language models and crafting the vision for analytics.
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Seeking an experienced Thermal Mechanical Analyst to support the advancement of silicon quantum dot technologies. Responsible for developing finite element models, analyzing thermal and dynamic performance, supporting test efforts, providing technical inputs, and mentoring junior engineers. Must have expertise in heat transfer, non-linear simulation tools, problem-solving skills, and excellent communication skills. Bachelor's, Master's, or Doctorate degree in Mechanical Engineering or related discipline required. U.S. citizenship is required.
Looking for a Senior Machine Learning Scientist to develop new machine learning products for a real-time acquisition marketing platform. Responsibilities include hands-on development of scalable algorithms, keeping up with latest ML advancements, and contributing to the company's ML roadmap.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay updated with latest technology, advocate for best practices, and provide technical direction for the ML community.
The VP, Enterprise Systems and Data Governance will lead the development and implementation of business intelligence strategies, enterprise IT systems, and data governance initiatives. They will collaborate with business unit leaders to integrate technology with business needs and drive the design of a best-in-class data ecosystem for data analytics capabilities and insights across the organization.
Build large, scalable platforms using cutting edge data technologies, conceptualize data architecture, improve data quality monitoring, collaborate with cross-functional teams, design and launch data models and visualizations, solve data integration problems, implement security models
Seeking a Senior Data Scientist to integrate physics-informed machine learning solutions with 3D printing technologies, collaborate with cross-functional teams, extract insights from data, lead exploration of new data science techniques, and communicate insights to stakeholders.
At Metropolis, we are building the next-gen end-to-end data ecosystem including Data Ingestion, Data Warehousing, Data Integration, Analytic Data Products and Machine Learning capabilities.
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