Machine Learning Engineering Intern

Learning A-Z • Contract • Remote (Remote from United States of America) • 2w ago

Fast Facts

Join Cambium Assessment as a Machine Learning Engineering Intern, where you will work with advanced transformer-based deep learning models and gain hands-on experience in ML model optimization and deployment workflows.

Responsibilities: Responsibilities include optimizing inference performance for transformer models, designing workflows for model lifecycle management, conducting performance benchmarking, and supporting the integration of ML models into production pipelines.

Skills: Candidates should have a strong foundation in deep learning, proficiency in Python, experience with ML frameworks (like PyTorch or TensorFlow), and familiarity with model optimization techniques and lifecycle tools.

Qualifications: Preferred applicants are pursuing a Master’s or Ph.D. in Computer Science or a related field, with exposure to containerization, orchestration tools, and distributed training strategies.

Location: This position is based in the United States and is fully remote.

Compensation: Not provided by employer. Typical compensation ranges for this position are between $20 - $35 per hour.

Job Overview:

We are seeking a passionate and highly motivated Machine Learning EngineerIntern to join our Machine Learning Team. This internship offers hands-on experience working with cutting-edge transformer-based deep learning models including XLNet, T5, and ELECTRA. The intern will contribute to optimizing model inference performance, managing the end-to-end ML model lifecycle, and supporting deployment workflows. As an intern you'll gain practical experience in managing and deploying real-world ML models. Mentorship from experienced ML engineers. Exposure to MLOps best practices and scalable deployment frameworks, and an Opportunity to contribute to high-impact projects that improve real-world systems.

Job Responsibilities:

Optimize inference performance for transformer-based models (e.g., quantization, pruning, batch inference).
Design and implement workflows for managing the model lifecycle (training, versioning, deployment, and monitoring).
Conduct performance benchmarking and develop tools to analyze and visualize model performance.
Collaborate with engineers and researchers to implement scalable and efficient model serving solutions.
Support integration of ML models into production pipelines using industry-standard tools and frameworks.

Job Requirements:

Currently pursuing a Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
Strong foundation in deep learning and hands-on experience with transformer architectures.
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
Familiarity with model optimization techniques (e.g., ONNX, TorchScript, quantization).
Exposure to model versioning and lifecycle tools (e.g., MLflow, SageMaker, or similar).
Strong problem-solving skills and ability to work in a collaborative environment.
Experience with containerization (Docker), orchestration tools (Kubernetes), or cloud platforms (AWS/GCP/Azure).
Understanding of distributed training/inference strategies.

Why Work With Us?

When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.

Our ground breaking work includes:

Advanced computer-adaptive algorithms
Mobile support of user interfaces
Learning management systems with social media features
Universally accessible user interfaces
Machine scorable items

In the 2024 school year, we delivered more than 126 million online tests, and successfully supported peak testing volumes exceeding 1.5 million simultaneous test takers. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com.

Remote First Work Environment

Our Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results. It allows us to work collaboratively, inclusively and for greater positive impact, regardless of our individual locations.

If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload.

The successful candidate will be expected to actively participate in video-based interviews during the recruiting process and ongoing virtual meetings with their camera on, as part of their role.

As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office.

An Equal Opportunity Employer

We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex (including pregnancy, gender, gender identity/expression, or sexual orientation), national origin, protected veteran status, disability, or genetic information (including family medical history).

We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member.