Head of AI/ML Engineering

November 24

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Natera

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Biotechnology • Healthcare Insurance • Pharmaceuticals

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

1001 - 5000 employees

Founded 2004

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

📋 Description

• Own the end-to-end technical vision for the entire AI/ML platform, from data ingestion, MLOps, model serving, fine-tuning, foundation model training, RAG, and agentic applications. • Make the critical "build vs. buy vs. open-source" decisions that balance speed, cost, and long-term defensibility. • Recruit, hire, mentor, and retain an elite team of T shaped AI engineers, applied ML engineers, data scientists, and platform engineers. • Design a rigorous hiring process to find "unicorn" talent and foster a culture of continuous learning and excellence. • Design, build, and scale an AI/ML platform that provides standardized tooling, infrastructure, and workflows for LLM training, fine-tuning, retrieval-augmented generation (RAG), AI orchestration, and deployment. • Develop reusable components and services (e.g., vector databases, prompt libraries, agent frameworks, model registries, evaluation pipelines, safety/guardrail modules) to accelerate delivery of AI solutions across product engineering teams. • Ensure reliability, scalability, and compliance of the AI/ML platform by implementing robust observability, governance, and cost-optimization strategies tailored for large model serving and API consumption. • Partner with business and product owners to identify, design, and implement high-impact AI solutions that drive measurable outcomes, ensuring alignment with strategic priorities. • Own the full lifecycle of AI solutions — from prototyping and deployment through ongoing monitoring, maintenance, and enhancements — ensuring solutions remain accurate, performant, and relevant as business needs evolve. • Continuously improve deployed AI systems by incorporating feedback, retraining models, and updating components to adapt to changing data, regulatory requirements, and operational realities. • Implement robust processes for quality assurance, model governance, and performance monitoring. • Drive adoption of a combination of hyper-scaler AI services and specialized cloud native AI solutions to accelerate time-to-market. • Lead cost observability and management initiatives to optimize AI infrastructure and usage at scale. • Ensure compliance with AI Governance policies. • Serve as the primary bridge between business stakeholders and the AI Office. • Ensure AI product roadmaps align with Natera’s broader AI vision and business objectives. • Champion a culture of responsible AI adoption, ensuring ethical, compliant, and explainable use of AI. • Translate business needs into actionable technical requirements for engineering and business teams. Collaborate with security, regulatory, compliance, and legal to ensure solutions meet security and regulatory standards. • Partner with AI Governance and Change Enablement leads to ensure trust, fairness, and adoption across the organization.

🎯 Requirements

• 15+ years of experience in an engineering leadership role in AI, ML, or data science. • Expertise in Generative AI, including LLMs, prompt engineering, RAG, fine-tuning, training, and evaluation methodologies. • Proven track record of delivering production-grade AI solutions in customer-facing and internal products especially using LLMs and ML models. • Strong understanding of production software engineering best practices, CI/CD, testing, observability, error handling, and security. • Experience with AWS based AI services and other specialized AI platforms (e.g., AWS Bedrock, Snowflake AI, Google AI, OpenAI, xAI). • Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs. • Exceptional communication and cross-functional collaboration skills. • Excellent stakeholder engagement, prioritization, and communication skills.

🏖️ 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!