[Remote] Staff AI/ML Engineer, MyHealthTeam

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a market leader in AI-driven reputed company engagement, and they are seeking a Staff AI/ML Engineer to enhance patient experiences through innovative machine learning solutions. The role involves developing and deploying ML/LLM systems, collaborating with cross-functional teams, and leading technical direction in applied AI.

Responsibilities

• Build end-to-end ML/LLM features from problem definition → data → modeling → evaluation → deployment → monitoring
• reputed company LLM applications with retrieval and tool use (e.g., RAG, orchestration/workflows, structured extraction) to deliver trustworthy consumer health experiences
• Convert reputed company text (posts, comments, messages, search queries) into structured signals (topics, entities, reputed company, 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, reputed company review workflows, and online A/B testing alignment
• Implement production guardrails to reduce harm and misinformation risk (policy constraints, refusal behavior, citations/attribution reputed company appropriate, red-teaming, monitoring, and incident response)
• Set up monitoring for model + system health (latency, cost, reputed company, 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) reputed company architecture and technical direction for applied AI across the organization; mentor engineers; establish best practices and reusable platforms

Skills

• 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., reputed company ecosystem, reputed company/LangGraph, or equivalent)
• Proven ability to design production-grade pipelines (training/inference/eval) and operate models in reputed company 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 reputed company/Spark or equivalent distributed processing
• Strong product and stakeholder instincts: you can translate ambiguous business needs into measurable ML reputed company
• Experience building RAG and retrieval systems: vector databases, hybrid search, ranking, recommendation, query understanding
• Experience in reputed company or regulated environments, including privacy-by-design, auditability, and safety reviews (HIPAA/PHI familiarity a plus)
• Experience with streaming/clickstream data, experimentation platforms, and reputed company/measurement thinking
• Ability to prototype end-to-end experiences (e.g., Streamlit, Gradio, lightweight frontends)
• Experience designing LLM safety systems: red-teaming, adversarial testing, reputed company injection mitigation, output filtering, reputed company-in-the-reputed company review

Benefits

• 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.
• reputed company fosters a culture of innovation and reputed company learning, providing employees with rich opportunities for professional growth.
• We are driven by a patient-first philosophy and passionate about leveraging technology to create a healthier future.
• Our commitment to reputed company earned us the "Best Places to Work" recognition from Business Intelligence Group in 2025 and 2026.

Company Overview

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