Software Engineer - AI/ML

Recruitment Fraud Alert

We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number.

• Commvault does not conduct interviews by email or text.

• We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day.

If you suspect a recruiting scam, please contact us at wwrecruitingteam@commvault.com

Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.

We are seeking an Entry-Level Engineer to join our engineering organization in Tinton Falls, NJ. This role is ideal for candidates with a foundational understanding of artificial intelligence and software engineering who are eager to contribute to production-grade systems. You will work within Commvault’s AI Development Lifecycle (ADLC) framework to design, develop, test, and deploy AI-driven features and services.

• Participate in the full AI Development Lifecycle (ADLC): requirements analysis, data preparation, model development, evaluation, deployment, and monitoring.

• Collaborate with software engineers, data scientists, and product managers to build AI-powered features into Commvault products.

• Develop, test, and maintain scalable backend services and APIs that integrate machine learning models.

• Assist in data preprocessing, feature engineering, and dataset management for model training and evaluation.

• Implement model validation, performance tracking, and continuous improvement workflows.

• Contribute to CI/CD pipelines for AI/ML systems, ensuring reliable deployment and versioning of models.

• Write clean, maintainable, and well-documented code following engineering best practices.

• Support debugging, performance tuning, and optimization of AI-enabled applications.

• Stay current with emerging AI/ML technologies and apply relevant advancements where appropriate.

Essential Skills & Experience

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.

• Strong programming skills in Python; familiarity with Java, C++, or Go is a plus.

• Basic understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, overfitting, etc.).

• Familiarity with common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Understanding of software development fundamentals: data structures, algorithms, object-oriented design.

• Exposure to REST APIs, microservices architecture, and cloud platforms (AWS, Azure, or GCP).

• Knowledge of version control systems (Git) and basic CI/CD concepts.

• Strong problem-solving skills and attention to detail.

Preferred Skills & Experience

• Internship or project experience involving AI/ML or