Principal AI/ML Engineering Lead

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $250k - $275k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Vida Health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2014

🏥 Healthcare

🍽️ Food & Beverage

💼 Consulting

Healthcare • Food & Beverage • Consulting

Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.

📋 Description

• Contribute across the platform build: data ingestion, transformation, a canonical data model and entity resolution, an event backbone, configuration as code, and API and serving layers. • Strengthen DevOps and reliability through CI/CD, infrastructure as code, environment management, and observability across metrics, logs, traces, and service level objectives. • Partner with Security and IT on data classification and access control enforcement, secrets and key management, and controls aligned with HIPAA and HITRUST. • Lay the groundwork for the AI/ML platform, including model serving and an inference gateway, feature and training data pipelines, model lifecycle, and LLM integration with grounding and guardrails. • Keep protected health information inside controlled boundaries and use in-VPC or local inference where required to prevent data leakage. • Work with existing team leads to raise AI and ML fluency across platform, security, and DevOps teams and establish reusable patterns. • Perform additional responsibilities as needed.

🎯 Requirements

• Bachelor's Degree at a minimum. • 7-10+ years of experience in building and scaling production-grade machine learning or AI systems. • Demonstrated experience as a generalist Software Engineer across backend, infrastructure, and data. • Substantial hands-on experience building and deploying AI/ML systems in production, including MLOps, model serving and inference infrastructure, feature and data pipelines, and integrating models into real applications. • Strong cloud experience, ideally on Google Cloud (Vertex AI, BigQuery, Cloud Run, Pub/Sub, Cloud SQL, GKE), with AWS or Azure equivalents also welcome. • DevOps and reliability skills: CI/CD, Terraform or a similar tool, containers and Kubernetes, and production observability. • Solid data engineering: SQL, pipeline tooling such as dbt, and data warehousing. • A security mindset and comfort working in a regulated environment with sensitive data. Familiarity with HIPAA or HITRUST is a plus. • Experience with LLM applications, including retrieval, evaluation, guardrails, and knowledge graphs. • Comfortable with ambiguity and a bias for shipping. You can go deep in one area and still move fluidly across the stack. • Experience with entity resolution or master data management. • Experience in healthcare or another regulated data domain. • Experience with GraphQL or a federated serving layer. • Experience with privacy enhancing technologies.