Principal Machine Learning Engineer, AI Systems

HP • All Cities, ID

3d • Onsite

About The Position

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—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.

Requirements

• 12+ years of experience in AI modeling, applied Machine Learning, or large scale ML systems, with demonstrated ownership of technical strategy.
• Deep expertise in training and fine tuning LLMs or LMMs, and applying state of the art generative AI techniques.
• Strong systems background with experience in inference engines, model runtimes, and performance optimization on heterogeneous hardware.
• Proven track record of delivering optimized, production grade AI solutions, including on device deployments.
• Excellent software engineering skills in Python and or C++ , with experience building scalable ML systems.
• Strong communicator and technical leader with experience influencing across teams; background at companies such as Nvidia, Google, Intel, or Qualcomm is a plus.

Responsibilities

• Define and drive the AI Lab technical strategy in support of HP’s AI roadmap, owning decisions across models, runtimes, inference engines, and optimization.
• Lead on device AI strategy, including model compression, quantization, distillation, and hardware aware optimization across CPUs, GPUs, NPUs, and TPUs.
• Architect and evolve tooling and platforms that support the full model lifecycle from data and training through evaluation, deployment, and monitoring.
• Establish standards and evaluation frameworks to ensure high quality, safe, and performant Gen AI models in production.
• Partner closely with cross functional leaders and teams to align technical direction with product and hardware strategy.
• Mentor a small group of senior engineers while operating as a hands on technical leader who sets direction and moves quickly.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed