AI & ML Platform Intern

HP

San Francisco (CA)

Hybrid

USD 62,000 - 70,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off

Job summary

HP IQ's AI Machine Learning team is shaping the foundational platform for agentic devices, spanning model creation, inference optimization, and orchestration. This internship offers exposure to end-to-end AI systems, collaboration with senior engineers, and hands-on work on real-world tasks that impact HP’s next-generation products.

You will contribute to core pillars like model inference optimization, orchestration, and fine-tuning, while learning to profile performance on device constraints

Qualifications

  • Currently pursuing a degree in Computer Science, Engineering, or related field, or equivalent practical experience.

Responsibilities

  • Work on model hosting and inference optimization, profiling, benchmarking and accelerating model execution on resource-constrained devices.
  • Experiment with quantization, distillation, or other optimization techniques to reduce latency and memory footprint.
  • Contribute to orchestration frameworks and agent workflows, building systems that coordinate multiple models and agents.
  • Participate in model customization and fine-tuning for target tasks, evaluating results and iterating on configurations.
  • Collaborate with system software, design, and product teams to understand integration points and seek mentorship.

Skills

Model inference
Optimization
Orchestration
Fine-tuning
Python
PyTorch
TensorFlow
HuggingFace
LangGraph
LangChain
Edge AI
System profiling

Education

Pursuing CS/Engineering degree

Tools

Python
PyTorch
TensorFlow
HuggingFace
FastAPI
LangGraph
LangChain

Job description

HP IQ's AI Machine Learning team is shaping the foundational platform for agentic devices, spanning model creation, inference optimization, and orchestration. This internship offers exposure to end-to-end AI systems, collaboration with senior engineers, and hands-on work on real-world tasks that impact HP’s next-generation products.

You will contribute to core pillars like model inference optimization, orchestration, and fine-tuning, while learning to profile performance on device constraints

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