Senior AI Validation Engineer

The Senior AI Validation Engineer is responsible for leading validation activities for AI/ML-enabled software and software-driven medical device systems across new product development and sustaining engineering. Under minimal supervision, this role provides senior-level technical expertise in AI model validation, data governance, risk management, and regulatory compliance, ensuring AI-enabled medical devices meet FDA and international regulatory requirements throughout the total product lifecycle.This role works cross-functionally with Quality Engineering, R&D, Data Science, Clinical, Product Development, and Regulatory Affairs to ensure scientific rigor, transparency, bias mitigation, and traceability in AI/ML system validation.Essential Duties and ResponsibilitiesLead verification and validation activities for ATEC AI/ML-enabled softwareDevelop AI validation plans, protocols and test strategiesDesign and curate validation data set, develop ground truthing methods and create ground truth dataDefine performance metrics, acceptance criteria, and statistical methods aligned with intended use.Conduct performance validation studies, including statistical analysis and data processing, and create study reportsAssess and document model limitations, bias risks, and data representativeness.Oversee validation-related data management, including dataset independence and training/validation/test separation.Support risk management activities per ISO 14971, including AI-specific hazards and failure modes.Prepare and review Computer Software Validation (CSV) documentation per FDA guidance.Contribute AI/ML validation content to FDA submissions (510(k), De Novo, PMA)Collaborate cross-functionally to ensure regulatory readiness and provide technical guidance to other departments.Other duties as assigned.RequirementsThe requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Substantial experience developing and validating AI models for medical devices or healthcare applications.Demonstrated experience evaluating AI/ML model performance using quantitative and statistical methods.Proficiency in Python or similar scripting/statistical languages.Experienced in AI algorithm validation for FDA submissionStrong foundation in statistics, experimental design, and descriptive data analysisExperience managing large-scale datasets using commercial or enterprise data toolsHands-on experience with AI/ML frameworks such as PyTorchFamiliarity with FDA regulatory requirements, regulated product development and quality systems (e.g., design controls, risk management, validation documentation).Familiar with LLM based generative AI technologiesEducation and Experience6+ years of experience in computer vision and/or machine learning / deep learning development (4+ years with a master's degree and 2+ years with a PhD)2+ years of experience in statistics, descriptive data analysis, or data science.For roles based in the United States that require access to hospital facilities, must be eligible for and maintain credentials at all required hospitals, including meeting any applicable physical requirements or vaccination requirements (including the COVID-19 vaccine, as applicable).ATEC is committed to providing equal employment opportunities to its employees and applicants without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender expression, or any other protected status in accordance with all applicable federal, state or local laws. Further, ATEC will make reasonable accommodations that are necessary to comply with disability discrimination laws.Salary RangeAlphatec Spine, Inc. complies with state and federal wage and hour laws and compensation depends upon candidate's qualifications, education, skill set, years of experience, and internal equity. $130,000 to $155,000 Full-Time Annual Salary