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Principal AI/ML Platform Engineer

2 hours, 46 minutes ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Software Development
Apache Spark AWS CI/CD Deep Learning Feature Engineering Generative AI HIPAA Kubernetes Machine Learning MLflow MLOps Python PyTorch TensorFlow
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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 88

Description

  • Define the technical vision and architecture for Natera’s ML and GenAI platforms, ensuring scalability, reliability, and compliance.
  • Build, operate, and evolve core AI platform components including data access layers, model registries, evaluation pipelines, vector databases, RAG frameworks, agent frameworks, and prompt guardrails.
  • Design, build, and operate end-to-end ML/DL/foundation model infrastructure for feature engineering, distributed training, deployment, monitoring, and evaluation.
  • Develop reusable GenAI services for extraction, classification, summarization, generation, retrieval, and prompt optimization.
  • Implement production-grade GenAI and ML services and APIs that support genomics analytics, clinical trial optimization, and patient-facing solutions.
  • Lead deployment and scaling of large models using modern MLOps practices and AWS-native services.
  • Deliver retrieval-augmented generation, agentic runtime, orchestration frameworks, and domain-specific copilots in compliance-ready environments.
  • Optimize inference latency, throughput, and cost efficiency through infrastructure and algorithmic improvements.
  • Embed governance, monitoring, and safety controls into AI/ML pipelines, including bias testing, PHI/PII redaction, audit trails, and explainability.
  • Mentor engineers and data scientists, set coding standards, review designs, and influence cross-functional roadmaps with Product, Data Governance, and Engineering leadership.

Requirements

  • 12+ years in software, data, or ML engineering, including 8+ years in AI/ML engineering at scale.
  • Expertise in building production-grade ML/LLM systems on AWS with technologies such as Python, LangChain, LlamaIndex, CrewAI, vector databases, agent runtimes, TensorFlow, PyTorch, Spark, and MLflow.
  • Proven track record with GenAI and LLMs, including fine-tuning, RAG, prompt orchestration, safety guardrails, monitoring, and cost optimization.
  • Deep knowledge of AI/ML-intensive systems, distributed architectures, and cloud-native development.
  • Familiarity with AI governance frameworks, LLM safety, drift detection, bias detection, hallucination handling, explainability, and compliance requirements such as HIPAA, CLIA, and FDA.
  • Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred.
  • Excellent ability to influence across teams, mentor engineers, and set technical standards.
  • Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering, or a related field preferred.
  • Experience in healthcare, pharma, diagnostics, or other regulated industries preferred.

Benefits

  • Remote USA role with a salary range of $174,400 to $218,000 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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