Senior Applied Machine Learning Engineer

About the role

This role is a Hybrid position requiring 2 days per week at an HPE office.

Job Description

We are seeking an experienced Senior Applied Machine Learning Engineer to apply machine learning and AI solutions in real-world, customer-facing environments. Key responsibilities include:

• Design, develop, and deploy machine learning models and AI solutions addressing real-world customer problems.
• Rapidly develop demos, POCs, MVPs, and workflows showcasing new AI/ML capabilities.
• Develop and improve integrations of open-source ML/AI tools within production environments.
• Fine-tune models and algorithms for accuracy, efficiency, and scalability in production settings.
• Translate customer requirements and industry trends into actionable AI/ML solutions improving product features, data management, and system performance.
• Collaborate with product managers, data scientists, and engineering teams to brainstorm, design, and deploy AI/ML solutions.
• Lead efforts in integrating emerging AI tools, mentor junior team members, and communicate progress and challenges to leadership.

Must Have

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

Nice to Have

• Experience with AI agents and automation.
• Knowledge of inference deployment and optimization techniques.
• Familiarity with large-scale data pipelines.
• Experience with retrieval-augmented systems (e.g., RAG).

What We Can Offer You

Health & Wellbeing: Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.

Personal & Professional Development: Programs catering to reaching career goals.

Unconditional Inclusion: Flexible work arrangements and celebration of individual uniqueness.

Information about employee benefits offered in the US

Details can be found at https://myhperewards.com/main/new-hire-enrollment.html.

Estimated job application period closure

The estimated job application period closure is October 26, 2026.

HPE is an Equal Employment Opportunity/ Veterans/ Individual with Disabilities employer

We do not discriminate on the basis of race, gender, or any other protected category, and all decisions are made on the basis of qualifications, merit, and business need.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities. Legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.