Top Tech Jobs & Startup Jobs in Los Angeles, CA

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

Lead the evolution of claims payment accuracy by optimizing strategic configurations, managing a small team, and implementing automated solutions to enhance operational efficiency in healthcare plans.

Lead the Data Products engineering pillar owning technical strategy, clinical data ingestion, canonical modeling, and scalability. Manage ingestion pipelines, customer onboarding, data hygiene, observability, and enterprise reporting. Drive AI-augmented SDLC adoption, ensure regulatory compliance (HIPAA, SOC 2), hire and mentor engineering leaders, and partner with product and data science to deliver a stable, scalable clinical data platform that supports multi-customer growth and clinical insight generation.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Engineering Director will lead and manage the cloud infrastructure and developer enablement, focusing on AI-native systems, team development, and security operations.

The UX Engineer will enhance the design system and UI patterns, ensuring design intent translates into production through building reusable components and managing frontend UX-related technical debt.

As a Senior Software Engineer, you will develop efficient systems to enhance healthcare delivery and collaborate with various teams to innovate features for patient care tools.

Lead and build the end-to-end data platform: set technical strategy, be hands-on with Snowflake and dbt, integrate heterogeneous sources, design AI-native pipelines for LLMs and agentic workflows, prioritize business impact, and recruit/mentor a small high-impact engineering team.

Own end-to-end operating model and outcomes for provider engagement and growth programs. Lead cross-functional teams, track and report program performance from CRM and other data sources, surface and escalate risks, engage directly with practices/providers as needed, and design scalable playbooks and operating processes.

Design, automate, and maintain scalable infrastructure and SRE tooling. Manage Kubernetes clusters, CI/CD, monitoring, and incident response. Improve processes, reduce toil via automation, and collaborate with engineering and data teams to support domestic and international workloads.