Machine Learning Engineer – Fine-Tuning and On-device AI

Machine Learning Engineer – Fine-Tuning and On-device AI

Overview

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team focused on creating an intelligent ecosystem across HP’s portfolio, developing intuitive, adaptive solutions that spark creativity, boost productivity, and enable seamless collaboration. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

About The Role

We are seeking a Machine Learning Engineer to lead the fine-tuning, optimization, and deployment of AI models for diverse tasks, with a strong emphasis on on-device inference . You will work on applications such as orchestration, planning, multi-agent coordination and other intelligent decision-making systems. You will adapt foundation models (LLMs, multimodal models) to specialized domains, making them fast, accurate, and efficient for resource-constrained environments while ensuring robustness and safety.

Key Responsibilities

• Model Fine-Tuning & Adaptation : Fine-tune large language models, multimodal models, and task-specific models for orchestration, planning, and related workflows.
• Experimentation : Design and run experiments to improve task accuracy, robustness, and generalization.
• Fine-Tuning Techniques : Apply methods such as full fine-tuning, LoRA, QLoRA and other parameter-efficient fine-tuning approaches.
• Model Quality : Employ techniques like QAT, DPO, and GRPO to improve model quality.
• On-Device Optimization : Prune, quantize, and compress models (e.g., INT8, INT4, mixed-precision) for CPU, GPU, NPU, and edge accelerators; optimize for low-latency inference using frameworks like OpenVINO, ONNX Runtime, QNN.
• Data Pipeline & Deployment : Build robust data pipelines for domain-specific datasets, including synthetic data generation and annotation; define evaluation metrics and perform evaluations; establish versioning and reproducibility practices.
• AI Orchestration & Planning : Develop models for multi-step reasoning, tool orchestration, and decision planning; collaborate with stakeholders on orchestrator architecture; work with product and research teams on context-aware capabilities.

Qualifications

Required :

Preferred :

Salary Range : $120,000 - $215,000

Compensation & Benefits (Full-Time Employees)

The salary range above is indicative. Final salary is based on job-related qualifications, education, experience, knowledge, and skills. We offer a comprehensive benefits package including :

Why HP IQ?

Equal Opportunity Employer (EEO) Statement

HP, Inc. provides equal employment opportunity to all employees and prospective employees without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, or any other characteristic protected by law. Information disclosed voluntarily will be kept confidential. For more information, see HP’s EEO policy and rights as an applicant.

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