Join MyHealthTeam to redefine the patient experience. MyHealthTeam builds communities for people living with chronic and rare conditions, reaching millions of people each month, and investing deeply in AI to help members find the right support, content, and recommendations safely and at scale.

Company: Swoop

Role: Staff AI/ML Engineer, MyHealthTeam

Location: Remote (United States)

Experience:

8+ years building and shipping production ML systems (or equivalent experience with demonstrable impact)
Experience working with large-scale data using Databricks/Spark or equivalent distributed processing

Key Skills:

Python
ML/LLM libraries and tooling (e.g., Hugging Face ecosystem, LangChain/LangGraph)
Databricks/Spark
Terraform
Airflow
GitHub Actions
AWS (including Bedrock)
Redshift
BI tools (Looker/Tableau)
AI-assisted coding tools (e.g., Cursor, Copilot, Claude/OpenAI tooling)

Qualification:

Strong Python skills
Experience with ML/LLM libraries and tooling
Proven ability to design production-grade pipelines (training/inference/eval) and operate models in real systems (monitoring, rollbacks, incident handling)
Solid grounding in ML fundamentals (NLP, deep learning, statistical reasoning, evaluation)
Experience with MLOps best practices: versioning, reproducibility, CI/CD, model registry patterns, feature/data management, and infrastructure collaboration

Role Focus:

Build end-to-end ML/LLM features from problem definition → data → modeling → evaluation → deployment → monitoring
Develop LLM applications with retrieval and tool use (e.g., RAG, orchestration/workflows, structured extraction)
Convert unstructured text into structured signals (topics, entities, intent, sentiment, safety flags)
Create and maintain data pipelines for training, inference, evaluation, and analytics
Design evaluation systems that measure quality and safety
Implement production guardrails to reduce harm and misinformation risk
Set up monitoring for model + system health (latency, cost, drift, regressions, quality metrics)
Partner closely with Product, Engineering, and Data teams and clinical/subject-matter experts to validate outputs and define what 'correct' means for sensitive, health-adjacent use cases

Additional responsibilities:

(Staff scope) Lead architecture and technical direction for applied AI across the organization; mentor engineers; establish best practices and reusable platforms

Nice to have:

Experience building RAG and retrieval systems: vector databases, hybrid search, ranking, recommendation, query understanding
Experience in healthcare or regulated environments, including privacy-by-design, auditability, and safety reviews (HIPAA/PHI familiarity a plus)
Experience with streaming/clickstream data, experimentation platforms, and causal/measurement thinking
Ability to prototype end-to-end experiences (e.g., Streamlit, Gradio, lightweight frontends)
Experience designing LLM safety systems: red-teaming, adversarial testing, prompt injection mitigation, output filtering, human-in-the-loop review

Other:

The MyHealthTeam Engineering team operates in a remote-first environment. This role is fully remote, with optional in-person collaboration at our San Francisco office.
Mission-driven work with massive reach: help millions of people find support and better health outcomes
High-ownership culture: small teams, fast shipping, visible impact
Strong collaboration: product, data, and domain experts working together
A chance to shape applied AI in a real consumer product with real constraints
The pay range for this role is: 240,,000 USD per year

Staff AI/ML Engineer

Skills Required

Description