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A new-grad/early-career full-stack engineer on ID.me's Life Hub (Super App) team in Mountain View, building eligibility logic and member-facing UI that surfaces government, healthcare, and commercial benefits tied to life events. Works across Java/REST backend services and React/Next.js frontend, onsite 5 days/week.
Early-career (0-2 years) backend-leaning full-stack engineer on ID.me's Developer Portal team, building the self-service platform that lets organizations integrate ID.me's identity verification. Daily work spans Java/Spring Boot services, legacy Ruby, and a Next.js/React/TypeScript frontend, with heavy use of AI coding tools.
Junior software engineer on Rocket Lab's Production Automation team in Auckland, building and supporting software used to functionally test spacecraft components and launch-vehicle (Electron, Neutron) systems, collaborating with avionics and manufacturing engineers on test rig bring-up, maintenance, and test data evaluation. Core tech includes Python, C++, and Linux.
Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local…
Principal Platform Engineer at Charlie Health designs and builds core infrastructure like a federated GraphQL supergraph, event streaming, identity layer, and real-time state management to support the company's behavioral healthcare platform.
Build and maintain the internal platform primitives (GraphQL, event streaming, identity, real-time state) that other engineering teams rely on, using AI agents for development in a HIPAA-regulated healthcare setting.
Builds and maintains web applications in React, Python, and PostgreSQL to empower clinical staff with tools for delivering high-quality virtual behavioral healthcare.
Staff Data Scientist at Charlie Health designs and implements statistical models and analyses to guide product, operations, and clinical decisions, using SQL, Python/R, and causal inference methods to improve mental healthcare access and outcomes.
Builds patient-facing financial tools and internal revenue systems for a virtual behavioral healthcare provider using React, Python, and PostgreSQL.
Designs and maintains data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Kafka.
Principal Platform Engineer leads the Core Platform team at a behavioral healthcare company, designing and operating the foundational systems (GraphQL supergraph, event substrate, identity layer, real-time state layer) that power the engineering org and enable AI-driven development in a HIPAA-regulated environment.
Builds and maintains full-stack web applications in React, Python, and PostgreSQL to empower clinical staff delivering virtual behavioral healthcare, with a focus on group-session tools and quality measurement.
Staff Data Scientist at a behavioral healthcare startup, leading statistical modeling and causal inference to shape product and operational decisions using Python, SQL, and Snowflake.
Builds and maintains the core infrastructure (GraphQL, event streaming, identity, real-time state) that other engineering teams rely on, using AI agents for development while ensuring HIPAA-compliant reliability and security.
Build and maintain scalable data pipelines, warehouses, and analytics tooling for a virtual behavioral healthcare provider, using Python, SQL, Snowflake, and Dagster/Airflow.
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing…
Newsela is hiring a remote (US) Educational Data Analyst who partners with school district administrators to gather analytics needs, designs and maintains custom K-12 data dashboards, and manages data integrations. Day-to-day work centers on advanced SQL, data visualization/dashboard tools, and collaboration with data science, engineering, and product teams.
Hands-on senior AI engineer building production-grade Generative AI systems on AWS for startup clients — RAG pipelines, LLM-powered backends, and agent workflows using Amazon Bedrock, AgentCore, Strands, and MCP. Owns projects end-to-end from design through production deployment and monitoring.
AI Engineer on Upwind's Research team building LLM agents that autonomously investigate, triage, and remediate cloud security threats in production. Day to day: prototyping and fine-tuning models on security data, running experiments, and building the internal AI platform (pipelines, evals, observability) primarily in Python.
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