AI/ML Engineer
MyOmeUnited States2 days ago
Full-timeRemote FriendlyEngineering
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MyOme’s mission is to provide clinically actionable genetic information to patients throughout their lives. We combine clinical-grade whole genome sequencing, advanced AI methods for genome interpretation, and seamless digital tools for doctors and patients to order and access results. Our team is composed of seasoned entrepreneurs, scientists, and operators, and we're backed by top-tier investors.
Position Overview
We are seeking an AI/ML Engineer to design LLM-powered agents, RAG pipelines, and predictive models that safely and effectively use clinical and genomic data. In this hands-on role, you will architect agentic systems, deliver end-to-end ML solutions from data to deployment, and implement LLMOps/MLOps foundations that ensure reliability, privacy, and interoperability. The work of this role directly impacts our ability to accelerate product development across multiple disease areas. By building robust LLM-powered agents, RAG pipelines, and predictive models, you will help expand our clinical AI solutions into new therapeutic domains, reduce time-to-market for new features, and enable scalable personalization for providers and patients.
This will be a hybrid position at our Menlo Park, CA location, approximately 2 days per week.
What You'll Do
AI Agents and LLM Systems
Benefits
Join Us If You
Position Overview
We are seeking an AI/ML Engineer to design LLM-powered agents, RAG pipelines, and predictive models that safely and effectively use clinical and genomic data. In this hands-on role, you will architect agentic systems, deliver end-to-end ML solutions from data to deployment, and implement LLMOps/MLOps foundations that ensure reliability, privacy, and interoperability. The work of this role directly impacts our ability to accelerate product development across multiple disease areas. By building robust LLM-powered agents, RAG pipelines, and predictive models, you will help expand our clinical AI solutions into new therapeutic domains, reduce time-to-market for new features, and enable scalable personalization for providers and patients.
This will be a hybrid position at our Menlo Park, CA location, approximately 2 days per week.
What You'll Do
AI Agents and LLM Systems
- Design and implement agentic systems
- Build RAG pipelines that ground LLMs in curated, up-to-date medical knowledge and EHR data
- Develop, test, and version prompts and tool-use workflows
- Integrate tool calling and APIs
- Integrate and improve existing disease-risk and polygenic risk workflows using features derived from structured EHR, clinical notes, labs, and (as needed) imaging.
- Apply NLP for clinical text, entity/ontology mapping, and embedding strategies.
- Ensure model calibration, explainability, and fairness across cohorts
- Establish CI/CD, model and prompt registries, feature stores, and reproducible training/inference pipelines.
- Monitor cost/performance and latency; optimize for GPU/CPU utilization and caching strategies
- Work cross-functionally (engineering, product, clinical, lab, research) to define requirements, timelines, and success metrics.
- Share progress transparently; surface risks early; contribute to best practices in healthcare AI engineering.
- PhD in CS, EE, Bioinformatics, or a related field; OR 5+ years of industry ML experience.
- Proficiency in Python and ML frameworks (PyTorch/TensorFlow); strong software engineering fundamentals.
- Hands-on with LLMs development and fine-tuning, prompt design, function/tool calling, RAG, and vector databases (FAISS, Pinecone, Weaviate).
- Experience with AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen) and building multi-step or multi-agent workflows.
- Strong SQL; experience with distributed data processing (e.g., Spark/Databricks)
- Nice to have: Familiarity with healthcare data standards (HL7 FHIR, OMOP; SNOMED CT, ICD-10/11, LOINC, RxNorm) and their use in ML/RAG pipelines.
- Nice to have: Understanding of HIPAA/GDPR, PHI handling, encryption, RBAC, and audit logging in production systems.
- Nice to have: Genomic data experience; clinical NLP; speech-to-tech; LoRA/PEFT fine-tuning; RHLF/RLAIF; federated learning, imaging models.
- Location: Hybrid role at our Menlo Park, CA office.
- Compensation: Annual base salary range is $170,000 - $200,000
Benefits
- Comprehensive healthcare coverage (Health, Dental, and Vision)
- 401K
- Unlimited PTO
- Professional development opportunities
- Company-sponsored off-sites and team meals during in-person meetings
- Direct access to company leadership and the opportunity for career growth
Join Us If You
- Want to make an impact at the intersection of healthcare and technology, changing the way people engage with their health at the genetic level
- Enjoy rolling up your sleeves, taking initiative, and being empowered to lead
- Value humility, transparency, and collaborative problem-solving
- Thrive in fast-moving, dynamic environments with smart, driven teammates
- Appreciate competitive compensation, meaningful equity, and excellent benefits
Key Skills
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