Software Engineering Intern, AML Platform (Summer 2027)

Centro Escolar University; San Francisco (CA); On-site; USD 62,000 - 70,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave - 4 to 12 weeks

Holidays and flexible vacation

Job summary

Centro Escolar University is seeking an AI internship candidate to work on model hosting, inference optimization, and orchestration across multiple models and agents. You will learn to profile, benchmark, and accelerate model execution on edge devices while contributing to open-source tooling and internal libraries.

You will collaborate with cross-functional teams to integrate AI capabilities into the platform, participate in model customization and fine-tuning, and gain hands-on experience in

Qualifications

• Pursuing a degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Strong technical communication skills to articulate project goals, outcomes, challenges, and decisions clearly.
• Familiarity with model inference and optimization, orchestration frameworks (LangGraph, LangChain), model fine-tuning and adaptation, or similar AI systems work.
• Collaboration and ownership mindset, comfortable working in cross-functional teams, seeking clarity proactively, and taking responsibility for outcomes.
• Problem-solving skills including debugging, evaluating technical tradeoffs, and making reasonable decisions among multiple approaches.

Responsibilities

• Work on model hosting and inference optimization, including profiling, benchmarking, and accelerating model execution on resource-constrained devices.
• Contribute to orchestration frameworks and agent workflows, building or extending systems that coordinate multiple models and agents.
• Participate in model customization and fine-tuning by adapting pre-trained language models for specific use cases.
• Collaborate cross-functionally with system software, design, and product teams to integrate work into the broader platform.
• Contribute to open-source projects or internal libraries related to inference or orchestration; take ownership of end-to-end outcomes.

Skills

Model inference and optimization

Orchestration frameworks

Model fine-tuning and adaptation

Python programming

Machine learning basics

Education

Pursuing degree in Computer Science or Engineering

Tools

PyTorch

TensorFlow

HuggingFace

FastAPI

Job description

Your Role

Here's what you will be doing:

• Work on model hosting and inference optimization, including profiling, benchmarking, and accelerating model execution on resource-constrained devices; experiment with quantization, distillation, and other techniques to reduce latency and memory footprint.
• Contribute to orchestration frameworks and agent workflows, building or extending systems that coordinate multiple models and agents using tools like LangGraph or LangChain; design robust, scalable orchestrations.
• Participate in model customization and fine-tuning by adapting pre-trained language models for specific use cases; conduct experiments and iterate on model configurations to improve performance.
• Collaborate cross-functionally with system software, design, and product teams to integrate your work into the broader platform; communicate progress and technical decisions clearly and seek mentorship.
• Contribute to open-source projects or internal libraries related to inference, orchestration, or model training; take ownership of end-to-end outcomes and platform improvements.

About You

The company is looking for candidates with:

• Current pursuit of a degree in Computer Science, Engineering, or related field, or equivalent practical experience, with coursework or projects in machine learning, systems engineering, or software development.
• Strong technical communication skills to articulate project goals, outcomes, challenges, and decisions clearly.
• Familiarity with one or more areas: model inference and optimization, orchestration frameworks (LangGraph, LangChain), model fine-tuning and adaptation, or similar AI systems work, demonstrated through projects or contributions.
• Collaboration and ownership mindset, comfortable working in cross-functional teams, seeking clarity proactively, and taking responsibility for outcomes.
• Problem-solving skills including debugging, evaluating technical tradeoffs, and making reasonable decisions among multiple approaches.

Preferred skills include open-source contributions to inference engines or orchestration libraries, experience with Python and ML libraries (PyTorch, TensorFlow, HuggingFace, FastAPI), familiarity with on-device or edge AI constraints and optimization, and system-level profiling and performance optimization.

Compensation & Benefits

• Hourly pay range: $45.00-$51.00 per hour, based on skills, qualifications, and experience.
• Comprehensive benefits package including health, dental, and vision insurance.
• Long term and short term disability insurance.
• Employee assistance program and flexible spending account.
• Life insurance.
• Generous time off policies including 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, and additional flexible paid vacation and sick leave.

Training & Development

Interns will partner closely with experienced engineers, gaining visibility into end-to-end AI system integration and scaling, and receive mentorship from experts in their focus area.

Career Progression

The internship provides exposure to foundational AI platform development, enabling growth in AI model optimization, orchestration, and fine-tuning, with opportunities to contribute to impactful projects influencing next-generation devices.