[Remote] Principal AI/ML Platform Engineer at Natera

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, BiotechnologyIndustries

Requirements

Deep expertise in AI engineering at scale
Passion for building robust, compliant, and high-performance systems
Expertise in cutting-edge techniques such as retrieval-augmented generation (RAG), advanced prompt engineering, vector search, GenAI governance, evaluation frameworks, ML/LLMOps, model experimentation, observability, and compliance-first AI pipelines
Hands-on experience with Kubernetes, MLflow, AWS-native services
Knowledge of HIPAA, CLIA, CAP, FDA, GxP, GDPR, and emerging AI regulations

Responsibilities

Define the technical vision and architecture for Natera’s ML and GenAI platforms, ensuring scalability, reliability, and compliance across diverse use cases
Build, operate, and evolve core AI platform components for standardized data access, LLM model registries for versioning and lifecycle tracking, evaluation pipelines for model validation and monitoring, vector databases, RAG frameworks, and agent frameworks for GenAI applications, prompt orchestration and guardrails for safe and compliant LLM deployments
Design, build, and operate end-to-end ML/DL/FM infrastructure (feature engineering, distributed training, evaluation, deployment, monitoring) that are modular, reproducible, and auditable
Design, build, and operate reusable GenAI services such as unstructured data extraction, classification, summarization, generation, retrieval from knowledge bases, prompt optimization etc
Implement production-grade Gen AI and ML services and APIs that power critical workflows, from genomics analytics to clinical trial optimization to patient-facing solutions
Lead the deployment and scaling of large models (custom trained LLMs, multimodal, deep learning) using modern MLOps practices (Kubernetes, MLflow, AWS-native services)
Deliver retrieval-augmented generation (RAG), agentic runtime, agent orchestration frameworks, and domain-specific copilots in compliance-ready environments
Optimize inference latency, throughput, and cost-efficiency through infrastructure design and algorithmic improvements
Build online and offline evaluation frameworks to ensure performance and real world utility
Embed governance and monitoring guardrails into AI and ML pipelines, including bias testing, safety, security, hallucination, explainability, PHI/PII redaction, audit trails
Partner with the Head of Data & AI Governance to ensure adherence to HIPAA, CLIA, CAP, FDA, GxP, GDPR, and emerging AI regulations
Establish automated checks and controls in the CI/CD and SDLC processes to maintain compliance-by-design
Act as the principal technical authority in AI/ML engineering — set coding standards, review designs, and ensure best practices in reproducibility, monitoring, and observability
Mentor and guide other engineers and data scientists, providing thought leadership on system design, optimization

Skills

Key technologies and capabilities for this role

AI EngineeringML PlatformsGenerative AIRAGPrompt EngineeringVector SearchGenAI GovernanceML/LLMOpsModel ExperimentationObservabilityVector DatabasesLLM Model RegistriesEvaluation PipelinesAgent FrameworksPrompt Orchestration

Questions & Answers

Common questions about this position

What is the salary range for this Principal AI/ML Platform Engineer role?

This information is not specified in the job description.

Is this Principal AI/ML Platform Engineer position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Principal AI/ML Platform Engineer role?

The role requires deep expertise in AI engineering at scale, including retrieval-augmented generation (RAG), advanced prompt engineering, vector search, GenAI governance, evaluation frameworks, ML/LLMOps, model experimentation, observability, and compliance-first AI pipelines, along with hands-on experience in Kubernetes, MLflow, and AWS-native services.

What is the team structure or leadership role for this position at Natera?

This is a hands-on technical leadership role as the most senior leader in the AI/ML engineering team, responsible for setting technical standards, mentoring engineers, and driving adoption of AI/ML techniques across the organization.

What makes a strong candidate for the Principal AI/ML Platform Engineer position?

A strong candidate has hands-on experience building and scaling enterprise-grade GenAI and ML platforms, deep expertise in AI/ML infrastructure like RAG frameworks, MLOps, vector databases, and compliance-ready deployments, plus leadership skills to define technical vision and mentor engineers.

Natera

Genetic testing and diagnostics solutions provider

About Natera

Natera focuses on genetic testing and diagnostics, providing advanced solutions for cancer patients, transplant patients, and individuals assessing hereditary health risks. Their main technology is cell-free DNA (cfDNA) testing, which analyzes DNA fragments in the blood to detect minimal traces of cancer and assess organ health. Natera stands out by offering specialized tests like the Signatera ctDNA test and Panorama NIPT, along with genetic counseling services. The company's goal is to improve patient care and health outcomes through accurate genetic testing.

Austin, TexasHeadquarters

2004Year Founded

$149.9MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

1,001-5,000Employees

Benefits

Flexible medical plans

Investment options

Time off

Workplace perks

Risks

Hindenburg report accuses Natera of deceptive sales practices, risking legal challenges.

New Prospera Heart features may face slow adoption by healthcare providers.

Fetal RhD NIPT demand may drop post-RhIg shortage, affecting future sales.

Differentiation

Natera's Signatera test offers personalized ctDNA analysis for cancer patients.

Prospera Heart test uses unique Donor Quantity Score for transplant rejection detection.

Panorama NIPT test is a leader in non-invasive prenatal testing with 2 million tests.

Upsides

Increased adoption of liquid biopsy techniques boosts demand for Natera's cfDNA tests.

AI integration enhances accuracy and speed of Natera's cfDNA analysis.

Growing personalized medicine trend aligns with Natera's customized genetic tests.

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