Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome

Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.

Key Responsibilities

• Assist in building and training machine learning and deep learning models

• Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

• Implement supervised and unsupervised learning algorithms

• Optimize model performance using hyperparameter tuning

• Deploy ML models using REST APIs or cloud services

• Work on model monitoring, validation, and performance tracking

• Collaborate with cross-functional teams in Agile/Scrum environment

• Document experiments and maintain reproducible ML workflows

Required Qualifications

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

• Strong understanding of Machine Learning fundamentals

• Knowledge of Probability, Statistics, and Linear Algebra

• Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)

Programming Languages

• Python

• R (preferred)

• Java (basic knowledge)

• SQL

Machine Learning & AI Frameworks

• Scikit-learn

• TensorFlow

• Keras

• PyTorch

• XGBoost

• LightGBM

Data Processing & Big Data

• Pandas

• NumPy

• Apache Spark

• PySpark

• Hadoop

NLP & Advanced Techniques (Preferred)

• Natural Language Processing (NLP)

• Computer Vision

• Deep Learning

• Transformers

• LLM fundamentals

Cloud & MLOps

• AWS (SageMaker, S3, EC2)

• Microsoft Azure ML

• Google Cloud AI Platform

• Docker

• Kubernetes

• MLflow

• CI/CD pipelines

• Model Deployment & Monitoring

Tools & Concepts

• Git

• REST APIs

• Feature Engineering

• Model Evaluation Metrics

• A/B Testing

• Agile/Scrum

Preferred Qualifications

• Prior ML internship or academic research experience

• Experience deploying models into production

• Knowledge of MLOps practices

• Strong problem-solving and analytical skills

• Good communication and teamwork abilities

Compensation & Benefits

• Competitive hourly compensation ($28 – $45/hr)

• Hands-on real-world AI/ML project experience

• Mentorship from senior ML engineers

• Opportunity for full-time conversion

• H1B sponsorship support for eligible candidates

• STEM OPT extension support

Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.