AI/ML Engineer - 100% Remote

About the Company

Vida is a virtual, personalized obesity care provider that helps people manage obesity and related conditions, including diabetes, high blood pressure, anxiety, and depression. Its care team includes obesity medicine-certified physicians, registered dietitians, expert coaches, and licensed therapists who take a whole-person approach to improving health.

By combining technology with evidence-based care, Vida works with Fortune 100 companies, national health insurers, and large healthcare providers to make personalized healthcare more accessible.

About the Role

Vida is rebuilding its data platform to strengthen patient data protection, improve data governance, and support self-service analytics. The company is seeking an experienced AI/ML Platform Engineer who can contribute across software engineering, data infrastructure, DevOps, security, and machine learning systems.

This hands-on role will help establish the technical foundation for production AI/ML capabilities, including model serving, data pipelines, lifecycle management, and large language model (LLM) integration. You will work closely with platform, security, IT, and DevOps teams to build reliable systems that support innovation while protecting sensitive patient information.

Key Responsibilities

• Contribute to data ingestion, transformation, canonical data modeling, entity resolution, event infrastructure, configuration as code, and API and serving layers
• Improve DevOps practices through CI/CD, infrastructure as code, environment management, and production observability
• Strengthen monitoring across metrics, logs, traces, and service-level objectives
• Partner with Security and IT to implement data classification, access controls, secrets management, and key management
• Develop the foundation for AI/ML infrastructure, including model serving, inference gateways, feature pipelines, and training data pipelines
• Support model lifecycle management, including model registries, evaluation, deployment, and monitoring
• Integrate large language models with appropriate grounding and guardrails
• Ensure protected health information remains within controlled security boundaries
• Use in-VPC or local inference where required to protect sensitive data
• Prevent data exposure risks when introducing machine learning capabilities
• Work alongside existing team leads to strengthen AI/ML knowledge across platform, security, and DevOps teams
• Establish technical patterns and practices that other teams can adopt
• Take on additional responsibilities as needed

Required Qualifications

• Bachelor's degree or higher
• 7–10+ years of experience building and scaling production-grade machine learning or AI systems
• Experience as a generalist software engineer across backend development, infrastructure, and data engineering
• Hands-on experience building and deploying production AI/ML systems, including MLOps, model serving, inference infrastructure, feature and data pipelines, and model integration into applications
• Strong cloud platform experience, ideally with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, Pub/Sub, Cloud SQL, and GKE; AWS or Azure equivalents are also welcome
• Experience with CI/CD, Terraform or similar infrastructure-as-code tools, containers, Kubernetes, and production observability
• Strong data engineering skills, including SQL, data pipeline tools such as dbt, and data warehousing
• A security-focused approach and comfort working with sensitive data in regulated environments
• Experience with LLM applications, including retrieval, evaluation, guardrails, and knowledge graphs
• Ability to work through ambiguity, deliver solutions, and contribute across multiple areas of the technology stack

Preferred Qualifications

• Experience with entity resolution or master data management
• Experience in healthcare or another regulated data environment
• Experience with GraphQL or a federated serving layer
• Experience with privacy-enhancing technologies
• Familiarity with HIPAA or HITRUST requirements

Salary & Benefits

• Annual salary range: $250,000–$275,000

Equal Opportunity / EEO

Vida is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants receive consideration without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, veteran status, or other protected characteristics.

The company considers qualified applicants with criminal histories in accordance with applicable federal, state, and local laws. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process.

Vida does not accept unsolicited candidate referrals from recruitment firms without a valid, signed search agreement for the specific position. No placement fee will be paid for hires resulting from unsolicited referrals.

Work Authorization & Location Requirements

• This is a remote position, but employees must reside in and work from the United States. International work is not permitted.
• Applicants must be authorized to work in the United States. Vida does not sponsor work visas for any position.
• Vida is authorized to operate in some, but not all, U.S. states. Applicants must reside in or be able to work from a state where Vida is registered. Candidates should confirm eligibility with their recruiter.

Use of Artificial Intelligence in Hiring

Vida may use AI tools to assist with parts of the hiring process, including application reviews, résumé analysis, response assessments, and identifying potential inconsistencies in application materials.

These tools support the recruitment team but do not replace human judgment. Final hiring decisions are made by people. Applicants may contact Vida for more information about how their data is processed.