Principal AI Engineer

🔥 13 hours ago

🌽 Illinois, North Carolina, +2 more states – Remote

🌽 Illinois – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote 🧀 Wisconsin – Remote

💵 $157k - $361k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Hewlett Packard Enterprise

WebsiteLinkedInAll Job Openings

10,000+ employees

🏢 Enterprise

🔧 Hardware

🤖 Artificial Intelligence

💰 $1.5G Post-IPO Equity - Hewlett Packard Enterprise on 2025-04

Enterprise • Hardware • Artificial Intelligence

Hewlett Packard Enterprise is an enterprise-focused technology company that delivers infrastructure, software, and services to help organizations build, manage, and secure hybrid cloud and AI-enabled environments. The company’s offerings — reflected in the provided text — include servers and high-performance computing (HPE ProLiant, HPE Cray), enterprise storage (HPE Alletra), networking products and services (HPE Aruba, Juniper partnership), AI platforms and turnkey AI factories, hybrid cloud and as-a-service offerings (GreenLake), security and networking (Zero Trust, SASE), and a broad portfolio of professional, advisory, and support services. HPE positions itself as a partner for large organizations modernizing data centers, deploying AI at scale, and adopting hybrid cloud operations.

📋 Description

• Design, develop, and deploy advanced machine learning models and algorithms • Select techniques, preprocess data, engineer features, train models, and evaluate performance • Lead research initiatives, conduct experiments, evaluate algorithms, and identify innovation opportunities • Design AI system architecture for scalability, performance, and reliability • Optimize algorithms and leverage distributed computing frameworks and cloud services • Collaborate with data scientists, software engineers, and product managers to identify AI integration opportunities • Provide technical guidance, leadership, and mentorship to junior engineers • Oversee design review sessions across projects and ensure adherence to best practices • Establish long-term design and implementation strategies with the engineering manager and team lead • Lead feedback loops and continuous improvement processes • Lead meetings, track progress, resolve issues, and coordinate teams • Present technical strategies and business impact to executive stakeholders • Apply data mining, data modeling, natural language processing, and machine learning to analyze datasets • Contribute to complex application, system administration, or network solutions where applicable

🎯 Requirements

• Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline • 8+ years of experience in AI and Machine Learning • Solid 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 • Knowledge of TensorFlow, PyTorch, or scikit-learn • Expertise in deep learning techniques, architectures, and frameworks, including CNNs, RNNs, and GANs • Proficiency in Python, Java, or C++ • Experience with data wrangling, feature extraction, dimensionality reduction, missing-value handling, and data quality • Understanding of linear algebra, calculus, probability theory, and statistics • Proficiency in data visualization tools and techniques • Familiarity with software engineering principles, Git, testing methodologies, and agile development practices • Experience leading research initiatives, publishing research papers, or contributing to open-source AI projects • Experience guiding and mentoring other engineers • Strong communication skills for cross-functional collaboration, technical leadership, and mentorship

🏖️ Benefits

• Comprehensive health and wellbeing benefits supporting physical, financial, and emotional wellbeing • Personal and professional development programs • Flexible work arrangements to manage work and personal needs • Remote/teleworker work arrangement • Variable incentives may also be offered