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Senior AI/ML Engineer

2 hours, 9 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS CI/CD Datadog Encryption Generative AI HIPAA Kubeflow Kubernetes Machine Learning MLflow Python PyTorch TensorFlow Terraform
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Natera

Natera

Natera specializes in cell-free DNA testing, providing advanced genetic testing services for oncology, women's health, and organ health to help families diagnose and manage genetic diseases.

Pharmaceuticals
1K-5K
Founded 2004
View All Jobs 83

Description

  • Design and implement foundational Generative AI services, including vector search, prompt tuning, agent orchestration, document extraction, memory services, registries, stores, guardrails, and evaluation pipelines.
  • Build infrastructure for autonomous and semi-autonomous AI agents with collaboration, reasoning, memory persistence, and continuous context-aware execution.
  • Create standardized APIs and SDKs that help product teams compose, deploy, and monitor Generative AI workloads.
  • Ensure platform components meet enterprise requirements for scalability, low latency, multi-region resilience, and cost efficiency.
  • Stand up LLM runtimes with token and rate governance, caching, and safe tool use.
  • Implement RAG systems at scale, including ingestion pipelines, chunking and embedding policies, hybrid search, relevance scoring, and feedback loops.
  • Develop agent orchestration for single- and multi-agent workflows, including planning, tool routing, shared memory, and inter-agent communication.
  • Integrate tools and APIs so agents can securely access internal systems and take actions under strict controls.
  • Implement cloud-native infrastructure for 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 tooling for performance monitoring, drift detection, and safety monitoring of AI outputs.
  • Embed compliance, security, and safety controls such as PHI/PII handling, encryption, audit trails, guardrails, and policy-as-code.
  • Lead platform architecture reviews, code reviews, design discussions, and the creation of templates, examples, and documentation.
  • Partner with research, data science, product, security, governance, SRE, and engineering teams to productionize AI capabilities and align roadmaps.
  • Mentor junior engineers and help establish technical standards and best practices across the organization.

Requirements

  • 5+ years of experience in software or machine learning engineering, including 3+ years in ML engineering at scale.
  • Experience building production-grade ML and LLM systems on an AWS-based stack using Python, TensorFlow or PyTorch, Spark, MLflow or Kubeflow, and vector databases.
  • Proven experience with Generative AI and LLM systems, including fine-tuning, RAG, prompt orchestration, agentic systems, safety guardrails, monitoring, and cost optimization.
  • Hands-on experience with RAG systems, including embeddings, vector databases, retrieval policies, caching, quotas, and multi-model routing.
  • Experience building agentic AI platforms using tools such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, or custom frameworks.
  • Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development.
  • Track record of building secure, compliant data and AI systems and automating policy checks.
  • Strong ability to influence across teams, mentor engineers, and set technical standards.
  • Experience in healthcare, biotech, diagnostics, or other regulated industries is preferred.
  • Strong grounding in compliance-first engineering is preferred.
  • Master’s degree in Computer Science, AI/ML, engineering, or a related field is preferred.
  • Familiarity with AI governance frameworks, bias detection, explainability, and compliance standards such as HIPAA, CLIA, and FDA is preferred.

Benefits

  • Remote USA salary range of $125,600 to $157,000 USD.
  • Comprehensive medical, dental, vision, life, and disability coverage for eligible employees and dependents.
  • Free testing for employees and their immediate families.
  • Fertility care benefits.
  • Pregnancy and baby bonding leave.
  • 401(k) benefits.
  • Commuter benefits.
  • Generous employee referral program.

Interested in this position?

Apply directly on the company website

Apply Now

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