Machine Learning Engineer - Recent Graduate Internship

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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

Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.

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