AI Software Engineer Intern — Android & ML

Zebra Technologies Corporation

Holtsville (NY)

Ibrido

USD 45.000 - 56.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Zebra Technologies Corporation offers a Hybrid Summer Internship in Holtsville, NY, focused on Android–oriented software development and embedded systems. You will work on on-device telemetry, ML data pipelines, and demo apps while interfacing with RFID, Vision AI, and camera technologies.

The program emphasizes leadership, collaboration, and hands-on experiences, with mentorship and social activities, aimed at preparing students for a full-time software career in a fast-paced tech environment.

Competenze

  • Current enrollment in an undergraduate (BS/BA) or graduate (MS/MA) degree program in Computer Science or Computer Engineering.
  • Anticipated graduation date between May 2027 and May 2028.
  • Must be authorized to work in the US without sponsorship now or in the future.

Mansioni

  • On-Device Telemetry Integration: interface with Android APIs to capture real-time metrics.
  • Cold-Start Data Collection: build efficient on-device data pipelines for ML training.
  • Multi-Modal Android Demo Apps: integrate RFID, Vision AI, Barcode Scanner, and Camera into Android apps.
  • Autonomous Agentic Systems: design LLM-powered agents to automate workflow parsing and API integration checks.
  • Develop planning, leadership and teamwork skills; manage team-based tasks and coordinate with day-to-day business contacts.

Conoscenze

Android Systems
Low-Level C++
Java Foundations
Python
ML Concepts
LLM Orchestration
Agentic Frameworks
Communication Skills
Adaptability
Teamwork

Formazione

BS/BA in Computer Science or Computer Engineering

Strumenti

TensorFlow
PyTorch
scikit-learn
Streamlit
GCP

Descrizione del lavoro

Zebra Technologies Corporation offers a Hybrid Summer Internship in Holtsville, NY, focused on Android–oriented software development and embedded systems. You will work on on-device telemetry, ML data pipelines, and demo apps while interfacing with RFID, Vision AI, and camera technologies.

The program emphasizes leadership, collaboration, and hands-on experiences, with mentorship and social activities, aimed at preparing students for a full-time software career in a fast-paced tech environment.

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