Top Data Engineer Jobs in San Diego, CA
As a Senior ML Data Linguist, you will create, label, and evaluate synthetic data for Generative AI projects. You will enhance AI systems' natural language understanding through data preprocessing, language modeling, and collaboration with cross-functional teams, while staying updated on advancements in the field.
As a Machine Learning Engineer, you will build and manage model pipelines, scale ML algorithms, implement ML Ops, and ensure quality deliverables. You'll collaborate with teams to deliver projects and conduct research on new architecture patterns and technologies.
In this Director role, you will lead Oracle Master Data Management (MDM) projects, implementing solutions to enhance data governance and quality across various sectors. Responsibilities include supporting teams, identifying market gaps, promoting efficiency, developing relationships, and leading technical teams in data management initiatives.
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The Senior Database Engineer will join a multi-disciplinary team to define and develop upgrades for an enterprise-wide Imagery Archive and Geospatial Intelligence System. Responsibilities include designing, coding, testing, and deploying new database configurations, while ensuring the system can process large data volumes. Travel may be required for customer support and deployments.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
Join the Data Center Selection team to improve the quality and cost of colocation sites while managing vendor relationships and driving best practices. Responsibilities include defining vendor strategies, managing deals end-to-end, and collaborating with internal teams to support infrastructure growth. Strong relationship management and negotiation skills are essential.
As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.
The Solutions Architect role involves engaging with clients to understand their Data & Analytics needs, creating tailored proposals, and ensuring successful delivery of solutions. Responsibilities include client support, design documentation, sales planning, and developing partner relationships, along with contributing to intellectual property.
As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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