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PropelGrad
#1 Fastest Growing Job Category 2026

AI & Machine Learning Jobs, Internships & Entry-Level Positions 2026

Browse 500+ AI and ML positions at the world's leading labs, big tech companies, and AI-native startups. From machine learning engineering to GenAI, RAG, and frontier research — find your path into AI with PropelGrad's recruiter-assisted applications.

65 AI role types covered $8K–$20K/mo intern salaries 30 top companies profiled 50 US markets covered
300%+
Growth in AI job postings since 2023
500K+
Unfilled AI positions in the US
$11K/mo
Median AI intern monthly pay
23%
Projected job growth through 2032

Browse All AI Role Categories

65 role pages across 6 career tracks — find the path that matches your background and ambitions.

Core ML/AI Engineering

Build the models that power AI products

Data Science & Analytics

Extract insights and build predictive systems

Generative AI

Work with LLMs, RAG, and GenAI products

AI Product & Strategy

Shape the direction of AI products

Industry-Specific AI

Apply AI in healthcare, finance, climate, and more

Emerging & Frontier AI

Edge AI, quantum ML, BCI, and tomorrow's tech

AI Salary Guide 2026

Salary benchmarks across all AI career tracks — from intern monthly pay to senior total compensation.

Role CategoryIntern (monthly)Entry-Level (0–2 yrs)Mid-Level (3–5 yrs)Senior (5–8 yrs)
Core ML/AI Engineering$8,000–$15,000/mo$125,000–$185,000$185,000–$260,000$260,000–$380,000
Generative AI$8,500–$16,000/mo$130,000–$190,000$190,000–$270,000$270,000–$400,000
Data Science & Analytics$6,000–$12,000/mo$95,000–$160,000$150,000–$210,000$210,000–$300,000
AI Product & Strategy$6,500–$13,000/mo$90,000–$170,000$155,000–$230,000$220,000–$320,000
Industry-Specific AI$6,000–$14,000/mo$85,000–$185,000$145,000–$250,000$210,000–$350,000
Quantitative Finance AI$14,000–$20,000/mo$120,000–$200,000$200,000–$350,000$350,000–$600,000+

Sources: Levels.fyi, Glassdoor, LinkedIn Salary, company-disclosed ranges. Total comp includes equity and bonus. 2026 data.

Top AI Hiring Companies 2026

30 company profiles — salaries, open roles, culture, and application tips for each.

Frequently Asked Questions

What is the average salary for an AI intern in 2026?

AI internships pay $6,000–$16,000/month depending on role and company. Core ML engineering roles at top labs (OpenAI, Anthropic, Google DeepMind) pay $12,000–$16,000/month. Data science internships typically pay $6,000–$12,000/month. Quantitative finance AI roles at Jane Street and Citadel pay $14,000–$20,000/month — the highest intern salaries in any field.

What degree do I need for AI/ML jobs?

Most ML engineering and research roles prefer a Bachelor's or Master's in CS, Mathematics, or Statistics. However, many companies hire based on demonstrated skills and projects. Data science and AI product roles are open to broader majors. For research scientist positions at top labs, a PhD is typically expected but not always required for exceptional candidates with strong publication records.

What programming languages should I learn for AI/ML?

Python is non-negotiable for virtually every AI/ML role — it's the universal language for model development, data processing, and MLOps. C++ and CUDA matter for systems-level ML work at NVIDIA and Apple. SQL is essential for data science. Research roles benefit from JAX or Julia. The ML frameworks you should know: PyTorch (most common), TensorFlow, JAX (Google), and Hugging Face Transformers for LLM work.

How do I get an AI internship with no experience?

Start by building a GitHub portfolio with at least 2–3 ML projects — Kaggle competitions, fine-tuned models, or RAG applications work well. Complete foundational courses (fast.ai, deeplearning.ai, or Stanford CS229). Learn PyTorch and be able to implement and explain common architectures. Many companies like Scale AI, data annotation firms, and AI startups are more accessible entry points than FAANG. PropelGrad's recruiter-assisted applications help you get in front of the right teams.

Which AI roles are easiest to break into without a PhD?

AI Data Analyst, Prompt Engineer, AI Business Analyst, AI Technical Writer, and AI Content Engineer are the most accessible entry points requiring no research background. MLOps Engineer and Applied ML Engineer are strong targets for software engineers pivoting to AI. Data Scientist roles at mid-market companies often hire strong BS graduates. The hardest roles to enter without a PhD are AI Research Scientist and AI Alignment Researcher.

Ready to Break Into AI?

Submit your profile and a PropelGrad recruiter will match you with AI and ML roles at top companies — from your first internship to your first full-time offer.