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Accelerated AI Engineer Immersive Program

Remote · USA Full-time New today

About the Opportunity Flatiron School is offering an apprenticeship opportunity for early-career developers to earn income while learning. Apprentices will enroll in Flatiron’s Data Science & AI part-time bootcamp and be matched with one of our employer partners for a paid apprenticeship throughout the duration of the program. This is a unique opportunity to develop skills in AI and data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work. At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer. This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for a 14-month program. The apprenticeship earnings will cover the tuition cost of the bootcamp.

What You'll Do

  • Attend and complete the part-time Data Science & AI Bootcamp as part of the apprenticeship
  • Contribute to software projects for your host company
  • Write clean, maintainable and testable code using modern frameworks and tools
  • Collaborate in sprint-based workflows and participate in code reviews
  • Support feature development, debugging, documentation, and QA processes
  • Build your portfolio of production-level work while growing your technical and collaborative skills
  • Receive ongoing mentorship from senior developers and product leaders

What You'll Learn

  • How engineering and data science intersect in modern AI products
  • Practical agile development workflows in a collaborative environment
  • Best practices for writing clean, maintainable, production-quality code
  • How to build and ship features with real user needs and product strategy in mind
  • How to apply data thinking to software engineering challenges

Who The Program Is For Requirements:

  • Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science Bootcamp and for apprenticeship work
  • Have a degree in Computer Science (or similar technical degree)) OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply
  • Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java)
  • Familiarity with frontend and backend web development concepts
  • Working knowledge of databases (SQL or NoSQL) and how to query or integrate them
  • Must be currently living in the U.S.
  • Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers.

Preferred Skills:

  • Awareness of testing, debugging, and code review practices
  • Strong communication and collaboration skills
  • Accountability in managing time and meeting small milestones
  • Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer

Who This Program Is Not For

  • Candidates currently enrolled in a college/university or bootcamp program
  • Candidates currently employed in a full-time job (part-time work is ok, as long as the hours do not conflict with our program)
  • Candidates who are seeking data analytics or data science apprentice work

Program Details

  • Hourly Pay: $20/hour for 20 hours/week paid through an employer partner (hiring entity) on their internal payroll cadence, 14-month commitment
  • Tuition Coverage: Commit to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School
  • Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses
  • Location: Program is fully remote and online, so you can work and study at home. U.S.-based candidates only

Requirements

  • Availability for 40 hours/week
  • Successful completion of the Flatiron School Aptitude Assessment
  • Successfully passing the technical interview with a member of our engineering team

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