Machine Learning Engineer – Recent Graduate Internship | STEM OPT/CPT | H-1B Sponsorship
📋 Job Details
Company: [Your Company Name]
Job Type: Internship
Location: United States (Remote / Hybrid / On-Site)
Workplace Type: Remote / Hybrid / On-Site
Seniority Level: Internship
Industry: Technology, Information and Internet, Artificial Intelligence
Employment Type: Full-time Internship
📍 About This Opportunity
Launch your career in Artificial Intelligence with our Machine Learning Recent Graduate Internship Program! We're seeking talented STEM graduates to join our team and gain hands-on experience building real-world ML systems.
Duration: 3–6 months
Compensation: $25–$40/hour (based on degree level)
Conversion Rate: 70%+ interns convert to full-time positions
Full-Time Starting Salary: $90K–$120K upon conversion
Visa & Work Authorization
International Students Welcome!
F-1 CPT Eligible
F-1 OPT Accepted
STEM OPT (24-month extension eligible)
H-1B Sponsorship upon full-time conversion
support for long-term employees
Dedicated immigration support team
What You'll Do
Machine Learning Development:
Build, train, and deploy machine learning models in production environments
Perform data preprocessing, feature engineering, and exploratory data analysis
Implement model evaluation metrics and optimization techniques
Work with supervised and unsupervised learning algorithms
Software Engineering:
Write clean, maintainable Python code following industry best practices
Develop REST APIs and backend services for ML model deployment
Use Git for version control and collaborative development
Debug and optimize ML pipelines and applications
MLOps & Cloud:
Work with cloud platforms (AWS, Azure, or Google Cloud Platform) for ML deployment
Containerize applications using Docker
Implement CI/CD pipelines for automated model deployment
Monitor model performance and data quality
Collaboration & Growth:
Work closely with senior ML engineers and data scientists
Participate in Agile sprints, code reviews, and technical discussions
Present project updates and learnings to the team
Build a portfolio of production-ready ML projects
🎯 Required Qualifications
Education:
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related STEM field
Graduated within the last 24 months (Class of 2023, 2024, or 2025)
Technical Skills:
Strong proficiency in Python (NumPy, Pandas, Matplotlib)
Hands-on experience with machine learning frameworks: Scikit-learn (required), TensorFlow or PyTorch
Basic knowledge of SQL and relational databases
Understanding of ML fundamentals: regression, classification, clustering, neural networks
Experience with Git/GitHub for version control
Familiarity with data structures and algorithms
Soft Skills:
Strong problem-solving and analytical abilities
Excellent communication skills (written and verbal)
Ability to work independently and collaboratively
Eagerness to learn new technologies
Strong time management skills
⭐ Preferred Qualifications
Academic projects, capstone, or thesis involving ML/AI
Active GitHub profile with ML projects
Kaggle competition participation or portfolio
Exposure to cloud platforms (AWS, Azure, Google Cloud Platform)
Familiarity with Docker, REST APIs, or microservices
Interest in NLP, Computer Vision, or Generative AI
Open-source contributions
Hackathon participation
Relevant certifications (AWS ML, Google TensorFlow, etc.)
🌟 What We Offer
Compensation & Benefits:
Competitive hourly rate: $25–$40/hour
Pro-rated health insurance (Medical, Dental, Vision)
Paid sick leave and company holidays
$200/month remote work or commuter stipend
401(k) access upon full-time conversion
Professional Development:
1:1 Mentorship with senior ML engineers
$2,000+ learning budget (Coursera, Udemy, O'Reilly access)
Weekly ML seminars and technical workshops
Conference and meetup attendance opportunities
Structured 12-week technical curriculum
Equipment & Resources:
Latest MacBook Pro or high-performance Linux workstation
Cloud computing credits (AWS/Google Cloud Platform)
Premium development tools and software licenses
Access to GPU clusters for model training
Career Growth:
70%+ full-time conversion rate for top performers
Clear path to Junior → Mid → Senior ML Engineer
H-1B sponsorship and support
Starting salary: $90K–$120K for converted interns
Internal mobility and growth opportunities
Immigration Support:
Dedicated immigration team for visa guidance
STEM OPT compliance support
H-1B petition preparation (premium processing covered)
sponsorship pathway (EB-2/EB-3)
📅 Program Structure
Weeks 1–2: Onboarding and system setup
Weeks 3–6: Ramp-up with starter projects
Weeks 7–10: Core contributions to production systems
Weeks 11–12+: Advanced projects and final presentations
Evaluation Criteria:
Technical Skills (40%)
Impact & Contribution (30%)
Learning Agility (20%)
Collaboration (10%)
📋 Application Process
Timeline: 2–3 weeks from application to offer
Submit Application – Resume, cover letter (optional), GitHub/portfolio
Phone Screen (20–30 min) – Recruiter conversation
Technical Assessment – Take-home challenge OR live coding (60 min)
Technical Interview (60–90 min) – ML concepts and project discussion
Final Interview (30–45 min) – Cultural fit and expectations
Offer Decision (3–5 days)
💡 How to Stand Out
Include 2–3 strong ML projects on GitHub with clear documentation
Highlight relevant coursework and academic achievements
Demonstrate continuous learning (certifications, online courses)
Show passion for specific ML domains (NLP, CV, GenAI)
Prepare to discuss technical concepts and past projects
Common Interview Topics:
Bias-variance tradeoff
Regularization techniques (L1/L2)
Handling imbalanced datasets
Model evaluation metrics
Overfitting prevention
🤝 Equal Opportunity Employer
We are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, age, or veteran status.
We especially encourage:
Women in STEM
Underrepresented minorities in tech
First-generation college graduates
International students
Individuals with disabilities
Accommodations available for candidates with disabilities during the interview process.
📧 How to Apply
Click "Easy Apply" or "Apply" button above to submit your application.
Application Materials:
Resume/CV highlighting relevant projects and coursework
Cover letter or statement of interest (optional but encouraged)
Link to GitHub profile or portfolio (strongly recommended)
Current visa/work authorization status
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