Title: Staff AI/ML Engineer, MyHealthTeam Location: Remote (United States) Department: Communities Engineering Job Description: What you get to do every day - 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) to deliver trustworthy consumer health experiences. - Convert unstructured text (posts, comments, messages, search queries) into structured signals (topics, entities, intent, sentiment, safety flags) using a mix of classical NLP and modern LLMs. - Create and maintain data pipelines for training, inference, evaluation, and analytics (batch and/or streaming as needed). - Design evaluation systems that measure quality and safety: offline metrics, golden datasets, human review workflows, and online A/B testing alignment. - Implement production guardrails to reduce harm and misinformation risk (policy constraints, refusal behavior, citations/attribution when appropriate, red-teaming, monitoring, and incident response). - Set up monitoring for model + system health (latency, cost, drift, regressions, quality metrics). - Partner closely with the Product, Engineering, and Data teams and clinical/subject-matter experts to validate outputs and define what “correct” means for sensitive, health-adjacent use cases. - (Staff scope) Lead architecture and technical direction for applied AI across the organization; mentor engineers; establish best practices and reusable platforms. Examples of problems you might work on - Personalized recommendations for communities, posts, resources, or next-best actions - Safer content understanding: detection of misleading/high-risk health claims, escalation workflows - Search and discovery improvements using embeddings, hybrid retrieval, and ranking - Summarization and structuring of long threads into navigable insights (with safety constraints) - Member intent understanding from behavioral + text signals Must-have qualifications - 8+ years building and shipping production ML systems (or equivalent experience with demonstrable impact) - Strong Python skills and experience with ML/LLM libraries and tooling (e.g., Hugging Face ecosystem, LangChain/LangGraph, or equivalent) - 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 - Experience working with large-scale data using Databricks/Spark or equivalent distributed processing - Strong product and stakeholder instincts: you can translate ambiguous business needs into measurable ML outcomes Nice-to-have qualifications - 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 Some tools we use - Databricks/Spark for distributed processing - Redshift and BI tools (Looker/Tableau) for analytics - Terraform for infrastructure-as-code; Airflow for orchestration; GitHub Actions for CI/CD - AWS (including Bedrock) and a mix of private and open-weight models (including fine-tunes where appropriate) - Experimentation tooling (A/B testing) and internal UX analytics tools - AI-assisted coding tools (e.g., Cursor, Copilot, Claude/OpenAI tooling) Working model 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. Why MyHealthTeam @ Swoop - 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 Company Swoop, a market leader in privacy-safe, award-winning omnichannel healthcare marketing, connects patients, healthcare providers (HCPs), and brands at scale across all channels. Our teams leverage the power of AI-driven technology combined with real-world data (RWD), first- and zero-party data, and engagement data, to empower pharmaceutical marketers to make faster, more precise decisions that improve patient outcomes. At Swoop, our mission is to create a future where technology seamlessly connects patients and HCPs in a privacy-safe way, improving the patient journey and driving better health outcomes. Swoop has experienced significant growth and demonstrated an unwavering commitment to innovation, talent development, and enhancing the patient experience. Our acquisition of MyHealthTeam in January 2025 brought vibrant social communities into our omnichannel suite, further bridging the gap between healthcare brands and patients for more impactful and targeted engagement. We believe our people are our greatest asset. Swoop fosters a culture of innovation and continuous learning, providing employees with rich opportunities for professional growth. This commitment to our team earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025, based on a survey of over 100 employees. We are driven by a patient-first philosophy and are passionate about leveraging technology to create a healthier future. If you're a driven professional seeking to make a real difference in healthcare marketing at a fast-growing, innovative company, join Swoop and help us revolutionize how brands connect with patients and HCPs. Application materials Submit a resume and answer the following two short questions: - Tell us why MyHealthTeam’s mission matters to you. - Give one example of a production ML/LLM system you shipped and how you evaluated it. ​​ The pay range for this role is: 240,000 - 260,000 USD per year (Remote (United States))

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