Senior Applied Machine Learning Engineer
About the role
This role is a Hybrid position with an expectation of working 2 days per week from an HPE office.
Job Description
We are seeking an experienced Senior Applied Machine Learning Engineer with a proven track record of deploying, integrating, and leveraging machine learning and AI solutions in real-world, customer-facing environments.
Responsibilities
Applied ML Development: Design, develop, and deploy machine learning models and AI solutions that address real-world customer problems, focusing on usability, scalability, and performance.
Rapidly develop demos, POCs, MVPs, and workflows to showcase new AI/ML capabilities that could be integrated into the product or used to improve existing features based on customer feedback or market research.
Develop and improve integrations of open-source ML/AI tools (e.g., MLFlow, Spark, LangChain, Kubeflow) within production environments, ensuring seamless operation on platforms like Kubernetes.
Solution Optimization: Fine-tune models and algorithms for accuracy, efficiency, and scalability in production settings, including deep learning technologies.
Product & System Enhancement: Translate customer requirements and industry trends into actionable AI/ML solutions that improve product features, data management, and system performance.
Collaboration & Communication: Work closely with product managers, data scientists, and engineering teams to brainstorm, design, and deploy AI/ML solutions, documenting procedures and best practices.
Leadership & Advocacy: 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 (e.g., 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
Personal & Professional Development
Unconditional Inclusion
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Information about employee benefits offered in the US
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Estimated job application period closure
The estimated job application period closure is September 1, 2026.