Senior Applied Machine Learning Engineer

Hewlett Packard Enterprise • Durham, NC

1d • $141,000 - $325,000 • Hybrid

About The Position

Hewlett Packard Enterprise is seeking a Senior Applied Machine Learning Engineer to deploy, integrate, and apply machine learning and AI solutions in real-world, customer-facing environments. The role focuses on building, optimizing, and integrating solutions that address customer needs and improve product performance. The engineer will translate complex data and AI/ML models into accessible, scalable solutions and work with cross-functional teams to support successful deployment and adoption.

The role is hybrid, requiring an average of two days per week at an HPE office. The position involves developing production-ready machine learning solutions, prototyping new capabilities, integrating open-source tools into production platforms, and optimizing models for accuracy, efficiency, and scalability. The engineer will also help guide adoption of emerging AI tools, mentor junior colleagues, and communicate progress and challenges to leadership.

Requirements

• PhD with at least 2 years of relevant industry experience, or equivalent qualifications such as a Master's degree with 4 or more years of experience or a Bachelor's degree with 6 or more years of experience.
• Extensive hands-on experience applying machine learning and AI solutions in customer-facing or end-user environments.
• Proven ability to deploy models in production while ensuring reliability and performance.
• Experience with open-source ML/AI tools and frameworks.
• Experience with backend programming languages such as Python or Go.
• Proficiency in developing, using, and maintaining AI agents, including proven experience coding agents for automation or decision-making tasks.
• Excellent written and verbal communication skills, especially for asynchronous collaboration.

Nice To Haves

• Experience with AI agents and automation.
• Knowledge of inference deployment and optimization techniques.
• Familiarity with large-scale data pipelines.
• Experience with retrieval-augmented systems such as RAG.

Responsibilities

• Design, develop, and deploy machine learning models and AI solutions for real-world customer problems, with attention to usability, scalability, and performance.
• Rapidly develop demos, proofs of concept, minimum viable products, and workflows to showcase AI/ML capabilities and improve existing features based on customer feedback or market research.
• Experiment with emerging techniques and tools to create functional prototypes that demonstrate practical AI/ML solutions.
• Develop and improve production integrations of open-source ML/AI tools such as MLFlow, Spark, LangChain, and Kubeflow, including on Kubernetes platforms.
• Fine-tune models and algorithms, including deep learning technologies, for accuracy, efficiency, and scalability in production.
• Translate customer requirements and industry trends into AI/ML solutions that improve product features, data management, and system performance.
• Collaborate with product managers, data scientists, and engineering teams to design and deploy AI/ML solutions.
• Document procedures and best practices.
• Lead efforts to integrate emerging AI tools, mentor junior team members, and communicate progress and challenges to leadership.

Benefits

• A comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
• Programs supporting career development and professional growth.
• Variable incentives may also be offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree