Top Remote Data Engineer Jobs in San Diego, CA
Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
The Analyst, Quantitative Developer will help with the implementation of efficiency-improving solutions for the assessment of residential real estate equity and debt investments by analyzing investment data, assessing financial models, improving Excel workflows, writing code, and learning to use Azure Data Factory.
Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.
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CrowdStrike is looking for a Security Researcher to join their Counter Adversary Operations team, focusing on monitoring, analyzing, and classifying underground data. The candidate will drive enhancements in intelligence operations and collaborate with global teams. Required skills include data analysis, programming (Python), data architecture, and research expertise.
Develop and maintain a specialized semantic data framework for cloud services, libraries, and databases at CrowdStrike. Collaborate on data modeling, replication, and governance tools. Implement service-based architectures and work with distributed databases. Proficient in Python, Go, or C++.
Bullhorn is seeking a Database Administrator II to manage a large distributed database environment for a global customer base. Responsibilities include database system software maintenance, implementation of database security, performance optimization, troubleshooting, and ensuring 24/7 availability. Ideal candidates will have a Bachelor's Degree in Information Technology/Computer Science or equivalent experience, along with specific experience in MS SQL Server, MySQL, PostGreSQL, and database support roles in a production environment.
Develop and maintain data pipelines, implement ETL processes, create data models, and work with big data technologies. Collaborate with teams to ensure data quality and integrity for NBC Sports Next's digital platforms and applications.
Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
Senior Data Engineer responsible for building ETL/ELT pipelines on big data platforms, analyzing complex data, and collaborating with peers. Must have 5+ years of Data Engineering experience, strong SQL skills, and experience working with Python. Knowledge of ad-tech terms and secure architectures is a plus. Bachelor's degree in Computer Science or related field preferred.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
Top remote Companies in San Diego, CA Hiring Data + Analytics Roles
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