Software Engineer - AI/ML

Posted 58 Minutes Ago
Hiring Remotely in United States
Remote
Entry level
Software
The Role
Work across the AI Development Lifecycle to design, develop, test, deploy, and monitor AI-driven features. Build scalable backend services and APIs integrating ML models, assist with data preprocessing and feature engineering, implement model validation and CI/CD for models, and support debugging, performance tuning, and continuous improvement of AI-enabled applications.
Summary Generated by Built In

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.  

What to know:

  • 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 [email protected] 


About Commvault 

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.

Key Responsibilities

  • 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 data-driven applications.

  • Familiarity with MLOps practices (model deployment, monitoring, retraining pipelines).

  • Experience working with large datasets and data processing tools (e.g., Pandas, Spark).

  • Understanding of containerization technologies such as Docker and orchestration tools like Kubernetes.

  • Exposure to security, data privacy, or enterprise software systems.

Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.

Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email [email protected] For any inquiries not related to an accommodation please reach out to [email protected].


Commvault's Privacy Policy


Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
  • Strong programming skills in Python.
  • Familiarity with Java, C++, or Go.
  • Basic understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, overfitting).
  • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Understanding of data structures, algorithms, and 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.
  • Internship or project experience involving AI/ML or data-driven applications.
  • Familiarity with MLOps practices (model deployment, monitoring, retraining pipelines).
  • Experience working with large datasets and data processing tools (Pandas, Spark).
  • Understanding of containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Exposure to security, data privacy, or enterprise software systems.

Commvault Systems, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Commvault Systems, Inc. and has not been reviewed or approved by Commvault Systems, Inc..

  • Healthcare Strength Medical coverage offers multiple plan choices alongside mental-health resources, fertility support, and wellness tools. Preventive care, specialized condition support, and comprehensive dental and vision options round out the package.
  • Parental & Family Support Paid parental leave, adoption/surrogacy reimbursement, and family-care services such as Bright Horizons and Maven support a range of caregiving and family-building needs. Backup care, tutoring, and related resources extend support beyond core health benefits.
  • Equity Value & Accessibility An employee stock purchase plan with a discount and lookback is positioned as a meaningful component of total rewards. Equity participation is highlighted alongside cash compensation to enhance overall value.

Commvault Systems, Inc. Insights

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The Company
HQ: Tinton Falls, NJ
3,464 Employees
Year Founded: 1996

What We Do

Commvault's data protection and information management solutions provide mid- and enterprise-level organizations worldwide with a significantly better way to get value from their data Commvault can help companies protect, access and use all of their data, anywhere and anytime, turning data into a powerful strategic asset.

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