Intern - Machine Learning Ops
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Wilmington, Massachusetts, USA — headquarters. Summer term from May to August. Up to 10% travel may be required, including travel to client locations and company headquarters. Transportation and housing benefits may be available for students who meet relocation requirements.
Salary: $32.00–$41.80 per hour, plus benefits including medical, dental, vision, disability coverage, 401(k), and PTO.
Company
develops AI-powered robotics and software platforms for high-density warehouse automation and supply chain operations.
What you will do
- Build and scale software platforms supporting autonomous robotic capabilities.
- Collaborate with machine learning research and development teams to prepare models for production deployment.
- Optimize robotic fleet deployment pipelines from merge requests through testing and rollout using ONNX, TensorRT, and custom hardware.
- Maintain edge computing infrastructure for real-time performance and reliability.
- Build pipelines for dataset curation, labeling, training, validation, and evaluation metrics.
- Develop simulation, diagnostics, monitoring, and alerting capabilities for robotic system evaluation and fleet scale-up.
Requirements
- Pursuing a PhD or master’s degree in a related field.
- Coursework or project experience in computer science, software engineering, robotics engineering, machine learning, or a related technical discipline.
- Proficiency in Python or C++ and the ability to deliver working code.
- Experience with cloud infrastructure or services, including Google Cloud Platform or Microsoft Azure.
- Experience with complex data systems, including storage, telemetry, camera, or sensor data.
- Familiarity with machine learning deployment technologies such as ONNX, TensorRT, Docker, or edge computing platforms.
Nice to have
- Experience improving compilation architectures or Docker Compose configurations for machine learning performance and shared hardware utilization.
Culture & Benefits
- Mentorship, professional development, networking, and community-building events for interns and co-ops.
- Transportation and housing benefits may be available for eligible students meeting relocation requirements.
- Medical, dental, vision, disability, 401(k), PTO, and other benefits are included in the compensation package.
- Cross-functional collaboration with machine learning, software, hardware, perception, and operations teams.
- Business travel expenses are reimbursed according to program guidelines.
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