ML Engineering Co-op — Spring 2026

Job description

Spotify is hiring a ML Engineering Co-op — Spring 2026 (Internship) hybrid. This java developer role is part of the AI hiring market in Boston (Massachusetts). Co-op / cooperative education placement on discovery ranking — 6-month rotation with university credit. Listed compensation: $70k – $86k / year. Stack: Co-op, Cooperative Education, ML, Recommendations, Python.

Java Developer profiles are in high demand in Boston: Boston and Cambridge anchor research-heavy AI hiring: biotech ML, NLP, robotics, and spinouts from MIT and Harvard.…

The team

Spotify — early talent program

Responsibilities

• Ship scoped features with mentor review and production-quality tests
• Document experiments, metrics, and learnings for the broader team
• Partner with product and design on user-facing AI capabilities

Requirements

• Enrolled in or recently completed a CS, ML, data, or related program
• Portfolio or coursework in Python, SQL, or modern web stacks
• Clear communication and curiosity about responsible AI in production

Tech stack

Benefits

Hiring process

1. 1Recruiter screen (20 min)
2. 2Technical conversation or take-home (time-boxed)
3. 3Team fit with manager and mentor
4. 4Offer

Experience: Intern · student or new grad · Education: Co-op eligible CS or data program (junior or senior standing)

FAQ — ML Engineering Co-op — Spring 2026

What is the salary for ML Engineering Co-op — Spring 2026 at Spotify?

Listed range: $70k – $86k / year (Internship). Packages often include PTO, remote options, and equity depending on the company.

Where is the ML Engineering Co-op — Spring 2026 role based?

125 Brookline Ave, Boston, MA, Boston (Massachusetts). Work mode: Hybrid.

How do I apply to Spotify?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0011. Process: Recruiter screen (20 min) → Technical conversation or take-home (time-boxed) → Team fit with manager and mentor → Offer.

Is Spotify hiring other AI roles?

Spotify (Audio & ML) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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