AI/ML Engineer - 100% Remote

About the Company

Vida is a virtual, personalized obesity care provider helping people manage obesity and related conditions, including diabetes, high blood pressure, anxiety, and depression. Its care model combines evidence-based treatment with support from Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches, and Licensed Therapists to improve patients’ overall health.

Vida combines healthcare expertise with technology to make quality care more accessible. Its services are trusted by Fortune 100 companies, major national payers, and large healthcare providers.

About the Role

Vida is rebuilding its data platform to strengthen patient data protection, improve data governance, and support self-service analytics. AI and machine learning are central to the platform’s future.

As an experienced Software Engineer, you will work across AI/ML systems, backend development, infrastructure, and data engineering. You will help build a secure, reliable platform that allows AI capabilities to be introduced safely while maintaining strict controls over sensitive healthcare data.

Key Responsibilities

• Contribute to data ingestion and transformation, canonical data modeling, entity resolution, event infrastructure, configuration as code, APIs, 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 teams on data classification, access controls, secrets and key management, and safeguards aligned with HIPAA and HITRUST.
• Build AI/ML platform capabilities, including model serving, inference gateways, feature and training data pipelines, and model lifecycle management covering registration, evaluation, deployment, and monitoring.
• Integrate large language models (LLMs) with appropriate grounding and guardrails.
• Keep protected health information within controlled boundaries and use in-VPC or local inference where required to prevent data exposure.
• Work alongside team leads to strengthen AI and ML knowledge across platform, security, and DevOps teams.
• Establish engineering patterns that other teams can build on as the platform evolves.
• 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 systems, infrastructure, and data.
• Hands-on experience 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 with Google Cloud services such as Vertex AI, BigQuery, Cloud Run, Pub/Sub, Cloud SQL, and GKE. Experience with equivalent AWS or Azure services is also welcome.
• Experience with CI/CD, Terraform or similar tools, containers, Kubernetes, and production observability.
• Solid data engineering skills, including SQL, 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 practical solutions, and move across the technology stack while bringing deeper expertise in at least one area.

Preferred Qualifications

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

Salary

• $250,000–$275,000 per year.

Location and Work Authorization

• This is a remote position. Employees must reside in and be able to work from the United States; international work is not permitted.
• Applicants must live in or be able to work from a state where Vida is registered. Candidates can speak with their recruiter to confirm eligibility.
• Applicants must be authorized to work in the United States. Vida is unable to sponsor work visas for any position.

Equal Employment Opportunity

Vida is an Equal Employment Opportunity and Affirmative Action employer. All qualified applicants receive consideration without regard to race, co…