AI Engineer - 100% Remote
About the Company
Hewlett Packard Enterprise (HPE) is a global edge-to-cloud company that helps organizations connect, protect, analyze, and act on data and applications across different environments. HPE focuses on developing technology solutions that help businesses turn data into meaningful outcomes. The company values inclusion, diverse perspectives, professional development, and continuous improvement.
About the Role
HPE is seeking a Principal AI Engineer to develop and deploy advanced artificial intelligence and machine learning solutions for its products and systems. This role involves designing machine learning algorithms, applying deep learning techniques, analyzing structured and unstructured data, and building scalable AI systems that improve performance, data quality, and accuracy. The Principal AI Engineer will provide technical leadership across projects, guide design decisions, mentor engineers, and collaborate with data scientists, software engineers, product managers, and engineering leaders. The position also involves researching emerging AI technologies, translating customer requirements into technical solutions, and identifying improvements that support business goals, reduce costs, and address evolving customer needs. This position is designated as Remote/Teleworker, with work primarily performed from home.
Key Responsibilities
Design, develop, train, evaluate, and deploy machine learning models and algorithms, including data preprocessing, feature engineering, and model optimization. Research advances in artificial intelligence and machine learning, conduct experiments, evaluate new algorithms, and identify opportunities for innovation. Design scalable, reliable, and high-performance AI system architectures using distributed computing frameworks and cloud services. Apply machine learning, deep learning, statistical modeling, data mining, natural language processing, and data modeling to analyze datasets and generate useful insights. Translate customer requirements, industry trends, and technical specifications into AI/ML products, solutions, and system improvements. Collaborate with data scientists, software engineers, product managers, and other teams to identify AI integration opportunities and guide technical development. Provide technical leadership and mentorship to junior engineers, review their work, and share best practices across the organization. Lead and participate in design reviews across multiple projects, ensuring consistent design decisions and adherence to engineering best practices. Work with engineering managers and team leads to establish long-term design and implementation strategies. Develop feedback loops and continuous improvement processes to strengthen AI solutions and development practices. Lead team meetings, track project progress, coordinate activities, and help resolve technical issues. Prepare and deliver presentations and reports for executive stakeholders, explaining technical strategies and their impact on business objectives. Document installation and maintenance procedures, complete programming tasks, test and debug solutions, and define and monitor performance metrics. Contribute to complex application, system administration, or network-related solutions where relevant to the role.
Required Qualifications
Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline. 8+ years of experience in artificial intelligence and machine learning. Strong understanding of supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling. Experience implementing and deploying machine learning algorithms, including decision trees, random forests, support vector machines, and neural networks. Proficiency in Python, Java, or C++, with the ability to write clean, efficient, and maintainable code. Knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience preparing and cleaning data, extracting features, reducing dimensionality, handling missing values, and addressing data quality issues. Strong mathematical foundations in linear algebra, calculus, probability, and statistics. Ability to communicate technical concepts clearly, collaborate across teams, and provide technical guidance and mentorship. Preferred Qualifications / Requirements Expertise in deep learning architectures and frameworks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Proficiency in data visualization techniques for analyzing and presenting model insights to technical and non-technical audiences. Familiarity with software engineering principles, Git, testing methodologies, and agile development practices. Experience leading AI research initiatives, publishing research papers, or contributing to open-source AI projects. Experience mentoring engineers and guiding technical design decisions. Commitment to continuous learning and staying current with AI research, emerging technologies, and industry developments. Salary & Benefits The expected annual base salary for this position in the United States is USD 157,000–361,000 in Georgia, Illinois, North Carolina, Texas, and Wisconsin. The actual offer may vary based on geographic location, work experience, education, training, and skill level. Variable incentives may also be offered. HPE provides benefits designed to support employees' physical, financial, and emotional well-being, along with programs for personal and professional development. The company also emphasizes inclusion, individual uniqueness, and flexibility in managing work and personal needs. Equal Opportunity / EEO Hewlett Packard Enterprise is an Equal Employment Opportunity employer, including Veterans, Disabled, and LGBT individuals. Employment decisions are based on qualifications, merit, and business needs, without discrimination based on race, gender, or other protected categories. HPE is committed to an inclusive and accessible workplace and encourages applications from all qualified individuals, including people with disabilities. Applicants who require reasonable accommodation during the application or interview process may submit a request through HPE's designated secure accommodation form. This option is intended for applicants needing disability-related assistance. HPE complies with applicable laws concerning the use of arrest and conviction records in employment decisions, including requirements to consider qualified applicants with criminal histories.