[Remote] AI Engineer
Note: The job is a remote job and is open to candidates in USA. Stride, Inc. is a company focused on improving educational outcomes through technology, and they are seeking an AI Engineer to develop and deploy AI-powered data products. The role involves model design, technical guidance to cross-functional teams, and leveraging AI to enhance student retention and academic success.ResponsibilitiesApplies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core productsProvide strategic influence with Product and Engineering teams to solve problems and identify trends and opportunitiesCollaborates with IT managers, data stewards, and data engineers to ensure that AI workflows are efficiently provisioned with high-quality data and follow best practices in security, privacy, and scalabilityInforms, influences, and supports product direction by translating business needs into innovative yet practical AI solutions that drive measurable outcomesEnsures that AI output is measurable, documented, reproducible, and actively monitored for performance drift. Implements practices for continuous improvement and retraining as neededManages the development of AI resources by gathering requirements, organizing data sources, and supporting the integration of AI models into product throughout the product lifecycleHolds a key thought leadership role on teams responsible for defining and evaluating strategies to improve academic outcomes, leveraging applied AI expertise to inform decisionsEnsures that Stride’s AI capabilities support schools and school services teams, facilitating adoption and use of actionable data to deliver improved outcomesIdentifies and defines new opportunities to leverage AI across different business units and functions in support of Stride’s mission, vision, and long-term strategyDemonstrates genuine enthusiasm for education and the Stride experience, inspiring colleagues and stakeholders to harness AI for meaningful impact on student successSkillsBachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field ANDSix (6) years' related experience; OREquivalent combination of education and experienceHands-on experience with modern ML libraries (e.g., Python-based frameworks such as TensorFlow, PyTorch, scikit-learn) and understanding of statistical principlesProficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environmentsAbility to design, implement, and maintain robust ML pipelines, including version control, containerization (Docker, Kubernetes), and CI/CD processesEnsures model integrity and reliability, validating outputs to deliver precise and actionable insightsHigh attention to detail and high level of accuracyStrong analytical skillsStrong customer service orientationProfessional integrity necessary to maintain confidentialityStrong planning skills and ability to manage multiple projects simultaneouslyExcellent verbal, and written communication skillsAbility to complete assigned duties within critical deadlinesAbility to work independently and in a team environmentProficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook)Proficiency with modern reporting platforms and toolsAbility to grasp complex platform concepts and business models, in a digital contextAbility to clear required background checkMaster's/Doctorate preferredAdditional experience with MLOps frameworks (e.g., MLflow, Kubeflow) or advanced ML techniques (e.g., NLP, recommender systems, deep learning)BenefitsEligible employees may receive a bonus.Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.Company OverviewStride, Inc. It was founded in 1999, and is headquartered in Miami Beach, Florida, USA, with a workforce of 5001-10000 employees. Its website is https://www.stridelearning.com.Company H1B SponsorshipStride, Inc. has a track record of offering H1B sponsorships, with 3 in 2026, 16 in 2025, 10 in 2024, 11 in 2023, 16 in 2022, 15 in 2021. Please note that this does not guarantee sponsorship for this specific role.