The apprenticeship offers early career professionals paid training in software engineering and AI/Data Science, focusing on real project contributions and collaboration.
About Flatiron School
As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future. We’re committed to helping change lives and the world for the better. Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design. In addition to student programs, we also offer targeted education solutions for organizations.
Our Mission: Enabling the pursuit of a better life through education
Our Values:
- Make No Little Plans - Build for scale, create for the future, execute short-term goals in view of long-term strategy
- Radiate Positivity - Be kind, have fun, find what to love
- Strive for Excellence - Drive results, hold yourself and each other accountable to our shared goals
- Be a Lifelong Learner - Embrace a growth mindset, be curious, get comfortable with being uncomfortable
- Work Together - Collaborate, embrace transparency, empower others to succeed
- Nurture Difference - Seek to understand, notice who or what is missing, actively seek out different opinions, create space for other voices to be heard
Flatiron School is offering a paid, work-integrated apprenticeship for recent graduates who want to transition into their first role in software engineering, with an interest in AI & Data Science.
This program is designed for early-career professionals who are new to tech or have only foundational exposure. You’ll learn in-demand technical skills through Flatiron’s bootcamp programs while gaining real, paid industry experience with an employer partner.
What You'll Do- Complete Flatiron School’s Software Engineering (full-time) and AI & Data Science (part-time) bootcamp programs
- Contribute to real software projects during a paid apprenticeship with an employer partner
- Collaborate in sprint-based workflows and participate in code reviews
- Build a portfolio of production-level work
- Receive mentorship from experienced engineers and product leaders
- Foundations of software development and modern engineering practices
- How software engineering and data intersect in AI-enabled products
- Agile development workflows and team collaboration
- Writing clean, maintainable, production-quality code
- Applying data-informed thinking to engineering problems
- Early career professionals with up to 2+ years of work experience in any field (including internships)
- Candidates with an expressed interest in learning new technologies
- Candidates excited to learn, collaborate, and grow in a structured environment
- Experienced software engineers, developers, or data scientists
- Candidates with prior professional experience in technical engineering roles
- Commitment: Full-time (40 hours/week) for 18 months
- Phase 1 (4 months): Full-time coursework
Phase 2 (14 months): - 20 hrs/week paid apprenticeship
- 20 hrs/week part-time coursework
- Compensation: $15/hour for 20 hrs/week (starting month 5)
- Tuition: $19,500 (covered through an installment plan during the program)
- Location: U.S.-based candidates only
- Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
- Up to 2+ years of prior work experience (any industry)
- Availability for 40 hours/week
- Successful completion of the Flatiron School Aptitude Assessment
Top Skills
AI
Data Science
Software Engineering
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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