Summary
Join Natera's Real-World Data team as a Principal-level AI Engineer and Architect, leading the Generative AI Program. This individual contributor role involves designing and implementing production-grade AI/ML systems, from initial concepts to large-scale deployment. You will collaborate with product managers, architects, and data science experts. The focus is on building scalable AI pipelines, agent-based solutions, and fine-tuned models to enhance Generative AI capabilities. You will also mentor AI engineers and act as a thought leader. The role requires a PhD in a relevant field and extensive experience in AI/ML development and deployment.
Requirements
- PhD in Computer Science, Mathematics, or a related field with a graduate focus on AI/ML
- Proven experience developing deep learning models in research or production environments
- Strong expertise as a machine learning engineer, software engineer, or research scientist, with depth in at least one area
- In-depth knowledge of standard deep learning algorithms and architectures
- Familiarity with the current ML literature and strong mathematical foundations in ML
- Proficiency in ML best practices, including scalable training, deployment, model evaluation, and introspection
- Hands-on experience with frameworks such as PyTorch, TensorFlow, or equivalent
- Advanced programming skills in Python and strong software engineering practices
- Experience with DevOps workflows including version control, CI/CD, and containerization
- At least one peer-reviewed publication
Responsibilities
- Develop AI Agents and Models: Fine-tune and customize LLMs, vision models, and multimodal models and agents to transform end-to-end value chains with AI
- Build Enterprise-Scale AI Solutions: Design scalable and optimized AI/ML pipelines for model development, deployment, monitoring, and maintenance
- Deliver Impactful AI Applications: Lead successful customer deployments and demonstrate high-impact AI applications for specific business use cases
- Cross-Domain Innovation: Create models and agents across domains such as biomedical statistics, clinical data abstraction, and software development
- Mentorship and Leadership: Mentor AI engineers and serve as a thought leader within the organization in your capacity as Head AI Architect
Preferred Qualifications
- PhD in Machine Learning or a closely related discipline
- Graduate studies or professional experience in the life sciences
- Experience working with biological data (e.g., genomics, transcriptomics)
- Publications in top-tier AI conferences or journals
- Experience designing and deploying commercial-grade AI/ML systems
- Proven contributions to open-source AI or ML projects
Benefits
- Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
- Natera employees and their immediate families receive free testing in addition to fertility care benefits
- Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more
- We also offer a generous employee referral program!
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