Participate in model customization and fine-tuning, taking pre-trained language models and adapting them for specific use cases; conduct experiments, evaluate results, and iterate on model configurations to improve performance for target tasks.
Collaborate cross-functionally with system software, design, and product teams to understand how your work integrates into the broader platform; communicate progress, challenges, and technical decisions clearly and seek mentorship from engineers with deep expertise in your focus area.
Contribute to open-source projects or internal libraries relevant to inference, orchestration, or model training; demonstrate ownership of end-to-end outcomes and ownership of improving the platform's capabilities and reliability.
Essential Qualifications
Currently pursuing a degree in Computer Science, Engineering, or related field, or equivalent practical experience. Some coursework or project experience in machine learning, systems engineering, or software development is expected.
Demonstrated technical communication skills: ability to articulate project goals, outcomes, challenges, and technical decisions clearly; comfort explaining technical concepts to peers and mentors.
Genuine familiarity with one or more of the following: model inference and optimization, orchestration frameworks (LangGraph, LangChain), model fine-tuning and adaptation, or similar systems-level AI work. Project experience, open-source contributions, or course projects demonstrating depth in at least one area are highly valued.
Collaboration and ownership mindset: comfort working in cross-functional teams, asking for help when needed, and taking responsibility for outcomes; ability to operate with some ambiguity and seek clarity proactively.
Problems-solving orientation: ability to debug issues, evaluate technical tradeoffs, and make reasonable decisions when multiple approaches are viable.
Preferred Skills
Open-source contributions to inference engines (e.g., vLLM), model repositories, or orchestration libraries; demonstrated ability to contribute meaningfully to a shared codebase.
Experience with Python and ML-adjacent libraries (PyTorch, TensorFlow, Hugging Face, FastAPI, or similar).
Familiarity with on-device or edge AI constraints and optimization techniques.
Experience with system-level profiling and performance optimization.
Hourly Pay Range: $40.00–$50.00 per hour. Actual compensation will be determined based on factors such as skills, qualifications, and experience.
2027 Internship Program Dates: May/June–August/September 2027. Final dates will be based on student schedules.
Compensation & Benefits (Full-Time Employees)
The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.
At HP IQ, we offer a competitive and comprehensive benefits package, including:
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 tenure11 paid holidaysAdditional flexible paid vacation and sick leave (US benefits overview)
- Shift -
- No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
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, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
