Machine Learning Engineer Intern

Job Description

Role Overview  
As a Machine Learning Engineering Intern, you will work alongside skilled engineers to enhance ServiceNow's natural language processing capabilities using advanced deep learning algorithms. You'll engage in data collection, synthetic data generation, and utilize customer data to bolster workflow intelligence. This internship offers hands-on experience in developing AI/ML solutions, cultivating innovative ideas, and contributing to projects that elevate user experiences and workflow efficiency. You will thrive in a dynamic and collaborative environment, laying a foundation for career growth. 

Qualifications

Required Qualifications 

• Current enrollment in a full-time Bachelor's or Master's program in AI, Machine Learning, Data Science, Computer Science or a related discipline at an accredited university. 

• Graduating December 2026, or later  

• Must be able to obtain and maintain authorization to work. 

• Commit to a 12-week internship in Summer 2026 (May-August, or, June-September)  

• Capable of operating on a hybrid schedule from one of our office locations. 

• Strong theoretical and practical knowledge of Machine Learning/Deep Learning. 

• Understanding of machine learning fundamentals, including supervised/unsupervised learning, model evaluation, and optimization. 

• Practical experience in systematically designing, building, evaluating, and productionizing machine learning solutions. 

• Proficient in prompt engineering and developing LLM based features 

• Proficiency in multiple programming languages: Java, Python, JavaScript, and SQL; familiarity with ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch. 

• Innovative problem-solving skills for complex software challenges. 

• Strong communication skills and experience in diverse cross-functional teams. 

Preferred Qualifications 

• Experience in using Al productivity tools such as Cursor, Windsurf, etc. 

• Experience with cloud platforms like AWS, GCP, or Azure and associated ML services. 

• Familiarity with MLOps tools like MLflow, Kubeflow, and Weights & Biases. 

• Knowledgeable about containerization and orchestration technologies. 

• Understanding of relational databases such as MySQL or Oracle. 

• Up-to-date with recent advances in AI research, including NLP/NLU and deep learning architectures. 

• Prior experience from internships, academic projects, coding competitions, or publications. 

For positions in this location, we offer a base pay of $55.18 - $63.35/hour, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.