Top Senior Level Data Engineer Jobs in Los Angeles, CA

Join our dynamic team as a talented Data Engineer tasked with maintaining and expanding the data warehouse. Collaborate with cross-functional teams to develop scalable systems, data pipelines, and algorithms in Python. Ensure data integrity, system performance, and contribute to machine learning models. Expertise in SQL, NoSQL, REST APIs, and cloud platforms is essential.

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.

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.

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.

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.