Artificial Intelligence Engineer - Remote
About the Company
Hewlett Packard Enterprise (HPE) is a global edge-to-cloud technology company that helps organizations connect, protect, analyze, and manage their data and applications across environments ranging from the edge to the cloud. HPE develops technology solutions that help businesses turn data into actionable insights, improve performance, and address complex operational challenges. The company values innovation, collaboration, inclusion, and continuous professional development, providing opportunities for employees to grow their technical expertise and contribute to impactful projects.
About the Role
HPE is seeking a Principal AI Engineer to design, develop, and deploy advanced artificial intelligence and machine learning solutions for its products and systems. This senior technical role focuses on applying machine learning, statistical modeling, deep learning, and data analysis to improve system performance, data quality, and operational efficiency. You will work with large-scale computing frameworks, data analysis systems, and modeling environments to transform technical requirements into production-ready solutions. In addition to hands-on engineering, you will provide technical leadership, guide design decisions, mentor engineers, and collaborate with cross-functional teams to align AI initiatives with customer needs and business objectives. This is a remote/teleworker position, primarily based at home.
Key Responsibilities
Design, develop, train, evaluate, and deploy advanced machine learning models and algorithms. Select appropriate modeling techniques, prepare and preprocess data, perform feature engineering, and assess model performance. Research emerging AI and machine learning technologies, conduct experiments, and identify opportunities to introduce innovative approaches. Design scalable, reliable, and high-performance AI system architectures using suitable algorithms, distributed computing frameworks, and cloud services. Collaborate with data scientists, software engineers, product managers, and other stakeholders to identify AI integration opportunities and translate requirements into technical solutions. Provide technical leadership across significant projects and programs, guiding engineering decisions and implementation strategies. Mentor junior engineers, review their work, share technical knowledge, and promote AI and machine learning best practices. Lead and participate in design reviews across projects to maintain consistency, quality, and adherence to established standards. Partner with engineering managers and team leads to establish long-term system design and implementation strategies. Develop feedback loops and continuous improvement processes to improve AI solutions and engineering practices. Coordinate technical meetings, track project progress, help resolve issues, and support effective team collaboration. Prepare presentations and reports for executive stakeholders, explaining technical strategies and their business impact. Apply data mining, data modeling, natural language processing, and machine learning techniques to extract insights from structured and unstructured datasets. Contribute to complex application, system administration, or network-related solutions where relevant to the role. Document installation and maintenance procedures, complete programming tasks, conduct testing and debugging, and define and monitor performance metrics. Identify opportunities to improve time to market, reduce costs, and address current and emerging customer needs.
Required Qualifications
Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline. At least 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. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in Python, Java, or C++, with the ability to write clean, efficient, and maintainable code. Experience preparing and cleaning data, including data wrangling, feature extraction, dimensionality reduction, handling missing values, and addressing data quality issues. Strong mathematical knowledge covering linear algebra, calculus, probability, and statistics. Ability to use data visualization techniques to analyze model outputs and communicate insights to technical and nontechnical audiences. Understanding of software engineering principles, version control systems such as Git, testing methodologies, and agile development practices. Strong communication and collaboration skills, including the ability to explain complex AI concepts and provide technical guidance. Demonstrated ability to mentor engineers and contribute to team development.
Preferred Qualifications
Advanced knowledge of deep learning techniques, architectures, and frameworks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Experience leading AI research initiatives, publishing research papers, or contributing to open-source AI projects. Demonstrated ability to introduce innovative technical approaches and improve the performance, scalability, and reliability of AI systems. Commitment to continuous learning through research papers, conferences, and engagement with developments in AI and machine learning. Salary & Benefits The expected annual base salary range is $157,000–$361,000 for eligible positions in Georgia, Illinois, North Carolina, Texas, and Wisconsin. Actual offers may vary based on geographic location, professional experience, education, training, and skills. Variable incentives may also be available. HPE offers a benefits and development program that includes: Health and wellbeing benefits supporting employees and their families. Financial and emotional wellbeing resources. Personal and professional development programs. Opportunities to deepen technical expertise or pursue career growth across different business areas. An inclusive working environment that values diverse backgrounds and perspectives. Accessibility HPE is committed to providing an inclusive and accessible workplace. Applicants who require reasonable accommodation related to a disability during the application or interview process can submit a request through the company's designated accommodation form. Equal Employment Opportunity Hewlett Packard Enterprise is an Equal Employment Opportunity employer and welcomes qualified applicants, including protected veterans and individuals with disabilities. Employment decisions are based on qualifications, merit, and business needs. HPE does not discriminate on the basis of race, gender, or other protected characteristics and complies with applicable laws concerning the consideration of applicants with criminal histories.