Natera
Staff Software Engineer, AI
We are seeking an experienced Staff Software Engineer, AI to lead cutting-edge AI initiatives that drive efficiency, automation, and intelligent decision-making in lab operations. This role will focus on developing and deploying AI-powered task automation, workflow guidance, and intelligent analytics to optimize high-throughput lab environments. As a technical leader, you will define the AI strategy, spearhead Generative AI, deep learning, and machine learning (ML) solutions, and collaborate with cross-functional teams to transform how labs operate. This role requires deep expertise in AI model development, infrastructure optimization, and human-centered AI applications for enhancing user experience. Primary Responsibilities
AI Leadership & Strategy
Develop and execute a strategic roadmap for AI-driven lab operations optimization. Identify and implement Generative AI and deep learning models for automating and enhancing lab workflows. Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models). Guide AI-driven solutions for task list generation, workflow guidance, and intelligent lab automation. Stay at the forefront of AI advancements, assessing emerging technologies for their practical application in lab operations. Advanced AI & Machine Learning Engineering
Architect and optimize Generative AI solutions leveraging AWS Bedrock, SageMaker, and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Develop and fine-tune custom LLMs to enhance workflow automation and decision support. Build real-time AI-powered applications to provide contextual recommendations and predictive insights in lab environments. Ensure scalability, security, and efficiency of AI/ML models for high-throughput lab operations. Implement MLOps best practices, including automated model training, validation, and deployment pipelines. Software Engineering & Intelligent User Experience
Design full-stack AI-driven applications that integrate workflow automation, task management, and decision support. Develop interactive dashboards and AI-driven user interfaces that enhance lab efficiency. Implement AI-powered guidance tools that assist lab personnel in navigating complex workflows. Work on backend AI services and front-end applications to deliver seamless AI-driven experiences. Cross-Functional Collaboration & Thought Leadership
Work closely with data scientists, software engineers, and lab personnel to define and execute AI solutions. Lead internal and external teams in the development and deployment of Generative AI applications. Educate technical and business leaders on AI/ML capabilities and strategic applications. Advocate for and implement responsible AI practices, ensuring compliance with regulatory requirements. Qualifications & Skills
Required Experience
12+ years of experience in software development. Expertise in Python, Java, SQL, and AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn). Proven experience fine-tuning LLMs, developing RAG systems, and working with Generative AI. 8+ years of hands-on experience deploying ML models in production using AWS SageMaker, Bedrock, or similar cloud AI platforms. Strong background in task automation, workflow optimization, and real-time AI applications. Deep expertise in cloud computing (AWS) and MLOps best practices. Strong problem-solving skills with a strategic mindset for AI adoption and innovation. Preferred Skills & Experience
Experience with custom LIMS/LES development and AI-driven lab automation. Familiarity with regulatory compliance and security standards in healthcare and life sciences. Austin, TX $162,600 - $203,300 USD
We are seeking an experienced Staff Software Engineer, AI to lead cutting-edge AI initiatives that drive efficiency, automation, and intelligent decision-making in lab operations. This role will focus on developing and deploying AI-powered task automation, workflow guidance, and intelligent analytics to optimize high-throughput lab environments. As a technical leader, you will define the AI strategy, spearhead Generative AI, deep learning, and machine learning (ML) solutions, and collaborate with cross-functional teams to transform how labs operate. This role requires deep expertise in AI model development, infrastructure optimization, and human-centered AI applications for enhancing user experience. Primary Responsibilities
AI Leadership & Strategy
Develop and execute a strategic roadmap for AI-driven lab operations optimization. Identify and implement Generative AI and deep learning models for automating and enhancing lab workflows. Lead research and prototyping efforts in Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning LLMs (Large Language Models). Guide AI-driven solutions for task list generation, workflow guidance, and intelligent lab automation. Stay at the forefront of AI advancements, assessing emerging technologies for their practical application in lab operations. Advanced AI & Machine Learning Engineering
Architect and optimize Generative AI solutions leveraging AWS Bedrock, SageMaker, and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Develop and fine-tune custom LLMs to enhance workflow automation and decision support. Build real-time AI-powered applications to provide contextual recommendations and predictive insights in lab environments. Ensure scalability, security, and efficiency of AI/ML models for high-throughput lab operations. Implement MLOps best practices, including automated model training, validation, and deployment pipelines. Software Engineering & Intelligent User Experience
Design full-stack AI-driven applications that integrate workflow automation, task management, and decision support. Develop interactive dashboards and AI-driven user interfaces that enhance lab efficiency. Implement AI-powered guidance tools that assist lab personnel in navigating complex workflows. Work on backend AI services and front-end applications to deliver seamless AI-driven experiences. Cross-Functional Collaboration & Thought Leadership
Work closely with data scientists, software engineers, and lab personnel to define and execute AI solutions. Lead internal and external teams in the development and deployment of Generative AI applications. Educate technical and business leaders on AI/ML capabilities and strategic applications. Advocate for and implement responsible AI practices, ensuring compliance with regulatory requirements. Qualifications & Skills
Required Experience
12+ years of experience in software development. Expertise in Python, Java, SQL, and AI/ML frameworks (PyTorch, TensorFlow, Keras, Scikit-learn). Proven experience fine-tuning LLMs, developing RAG systems, and working with Generative AI. 8+ years of hands-on experience deploying ML models in production using AWS SageMaker, Bedrock, or similar cloud AI platforms. Strong background in task automation, workflow optimization, and real-time AI applications. Deep expertise in cloud computing (AWS) and MLOps best practices. Strong problem-solving skills with a strategic mindset for AI adoption and innovation. Preferred Skills & Experience
Experience with custom LIMS/LES development and AI-driven lab automation. Familiarity with regulatory compliance and security standards in healthcare and life sciences. Austin, TX $162,600 - $203,300 USD