Natera · 10 hours ago
Senior AI/ML Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$126K/yr - $157K/yr
8+ years expNatera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. The Senior AI/ML Engineer is responsible for designing, building, and deploying Natera’s Generative AI and Machine Learning platforms, impacting patient outcomes and clinical innovation.
BiotechnologyGeneticsHealth DiagnosticsMedicalWomen's
Responsibilities
Design and implement foundational GenAI services: vector search, prompt tuning, agent orchestration, document extraction, context/memory services, model/endpoint registry, feature/embedding stores, guardrails, and evaluation pipelines
Build the underlying infrastructure for autonomous and semi-autonomous AI agents including support for agent collaboration, reasoning, and memory persistence, enabling continuous context-aware execution
Build standardized APIs/SDKs that make it easy for product teams to compose, deploy, and monitor Generative AI workloads
Ensure platform components meet enterprise-grade requirements for scalability, latency, multi-region resilience, and cost efficiency
Stand up LLM runtimes with token/rate governance, caching, and safe tool-use
Implement RAG at scale: ingestion pipelines, chunking/embedding policies, hybrid search, relevance/risk scoring, and feedback loops
Build agent orchestration (single & multi-agent) with planning, tool routing, shared/persistent memory, and inter-agent communication
Integrate tooling and APIs that allow agents to interact with internal systems, retrieve data securely, and take action under strict controls
Collaborate with research teams to prototype and productionize multi-agent architectures for workflow automation, report generation, and data synthesis
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Automate data and model pipelines for RAG, LLM fine-tuning, and agent orchestration
Integrate observability tools (Datadog or equivalent) for real-time performance, drift detection and safety monitoring of AI outputs
Optimize compute and storage architecture to ensure cost-effective scaling of large models and multi-agent workloads
Partner with security, data governance, SRE, and application teams to productize platform capabilities
Embed compliance-by-design (HIPAA/CLIA/CAP/FDA/GDPR): PHI/PII handling, encryption, access controls, audit trails
Implement guardrails: input/output filters, prompt hardening, allow/deny policies for tool execution, policy-as-code in CI/CD
Bias/explainability hooks and automated evaluations for RAG/LLM/agents; drift and regression detection
Establish golden paths (templates, examples, docs) and lead platform architecture reviews, code reviews, and design discussions
Partner with data scientists, AI researchers, and product engineers to deliver reliable and maintainable AI services
Mentor junior engineers in platform development, distributed systems, and agentic AI infrastructure concepts
Influence cross-functional roadmaps by partnering with Product and Engineering leadership to align delivery with business needs
Qualification
Required
8+ years in software/ML engineering, with 5+ years in ML engineering at scale
Expertise in building production-grade ML/LLM systems on AWS tech stack (Python, TensorFlow/PyTorch, Spark, MLflow/Kubeflow, vector DBs)
Proven track record with GenAI/LLMs: fine-tuning, RAG, prompt orchestration, agentic systems, safety guardrails, monitoring, and cost optimization
Hands-on with RAG systems (embeddings, vector DBs, retrieval policies) and LLM runtime operations (caching, quotas, multi-model routing)
Experience building agentic AI platforms (LangChain, LlamaIndex, CrewAI, Semantic Kernel, or custom)
Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development
Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred
Track record building secure, compliant data/AI systems and automating policy checks
Excellent ability to influence across teams, mentor engineers, and set technical standards
Preferred
Masters degree in Computer Science, AI/ML, engineering or related field
Experience in healthcare, pharma, diagnostics, or other regulated industries
Familiarity with AI governance frameworks, bias detection, explainability, and compliance (e.g., HIPAA, CLIA, FDA)
Benefits
Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
Free testing in addition to fertility care benefits
Pregnancy and baby bonding leave
401k benefits
Commuter benefits
Generous employee referral program
Company
Natera
Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.
5001-10000 employees
H1B Sponsorship
Natera has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (72)
2023 (37)
2022 (71)
2021 (64)
2020 (40)
Funding
Current Stage
Public CompanyTotal Funding
$1.16BKey Investors
Sofinnova InvestmentsLightspeed Venture PartnersSequoia Capital
2023-09-07Post Ipo Equity· $250M
2022-11-15Post Ipo Equity· $400.05M
2022-03-16Post Ipo Equity· $5M
Leadership Team
Steve Chapman
CEO
Jonathan Sheena
Co-Founder, Board Member
Recent News
2025-12-16
Company data provided by crunchbase