ZipRecruiter

Log In

1

Internship Software Engineer Spotify Jobs in Boston, MA

Danaher

Software Engineer Internships

Brockton, MA

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Brockton, MA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Lowell, MA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Babson Park, MA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Lowell, MA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

Danaher

Software Engineer Internships

Cambridge, MA · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

next page

Showing results 1-20

All JobsSoftware Engineer Spotify JobsInternship Software Engineer Spotify JobsInternship Software Engineer Spotify Jobs in Boston, MA

Internship Software Engineer Spotify information

See Boston, MA salary details

$14

$27

$42

How much do internship software engineer spotify jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship software engineer spotify in Boston, MA is $27.61, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $31.35 per hour, depending on experience, location, and employer.

What does an internship software engineer at Spotify do?

An Internship Software Engineer at Spotify works as part of a technical team to help design, develop, and maintain software applications that support Spotify’s products and services. Interns typically collaborate with experienced engineers, participate in coding, debugging, and testing, and may contribute to real projects used by millions of Spotify users. This role offers hands-on experience with modern technologies and agile development processes, providing valuable insights into how a large-scale music streaming platform operates. Interns also have opportunities to learn from mentors and network with professionals across the company.

What types of projects does an internship software engineer at Spotify typically work on, and how do they contribute to real product development?

As an Internship Software Engineer at Spotify, you'll often work on meaningful projects that directly support ongoing product features or internal tools. Interns are usually embedded within a team, collaborating with engineers, product managers, and designers to solve real-world challenges—such as improving user experience, enhancing backend systems, or developing new features. You'll be expected to contribute code, participate in code reviews, and share your ideas in team meetings. This hands-on experience helps you develop technical skills while seeing the tangible impact of your work on Spotify's products.

What are the key skills and qualifications needed to thrive as an internship software engineer at Spotify, and why are they important?

To thrive as an Internship Software Engineer at Spotify, you need a solid understanding of programming languages (such as Java, Python, or JavaScript), computer science fundamentals, and currently be enrolled in a relevant degree program. Experience with version control systems like Git, familiarity with cloud platforms, and knowledge of Agile development practices are often expected. Collaboration, problem-solving, and a willingness to learn are essential soft skills for success in Spotify's dynamic and innovative environment. These skills and qualities are important because they enable interns to quickly contribute to real projects, adapt to new technologies, and work effectively within diverse engineering teams.

What are popular job titles related to Internship Software Engineer Spotify jobs in Boston, MA?

For Internship Software Engineer Spotify jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Internship Software Engineer Spotify jobs in Boston, MA look for?

The top searched job categories for Internship Software Engineer Spotify jobs in Boston, MA are:

What cities near Boston, MA are hiring for Internship Software Engineer Spotify jobs?

Cities near Boston, MA with the most Internship Software Engineer Spotify job openings:

Internship Software Engineer Spotify jobs near you
Infographic showing various Internship Software Engineer Spotify job openings in Boston, MA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $57,435 per year, or $27.6 per hour.

Machine Learning Engineering Manager, Personalization

Spotify

Boston, MA • Remote

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.

You'll join the Saturn squad within Sessions, part of Spotify's Personalization Mission. The team is focused on training and improving the machine learning models that rank and personalize some of Spotify's most-loved listening experiences, including Radio and Daily Mix. As part of Personalization's broader strategy, the team is also helping shape the future of generative recommendations by developing and adopting new approaches that leverage large language models, including fine-tuning models to improve the quality, relevance, and personalization of our playlists. As the Engineering Manager, you'll lead a talented team of machine learning, backend and data engineers while providing both technical direction and people leadership, helping the team deliver innovative ML capabilities that reach millions of listeners every day.
What You'll Do
  • Lead, coach, and develop a team of machine learning engineers, creating an inclusive, high-performing engineering culture.
  • Set the technical direction for the team while partnering with Product, Data Science, and Engineering leaders to deliver impactful machine learning capabilities.
  • Guide the design, development, deployment, and operation of production machine learning systems at scale.
  • Support engineers through technical mentorship, career development, performance management, and regular feedback.
  • Drive execution by helping the team prioritize work, remove obstacles, and continuously improve delivery.
  • Foster engineering excellence through modern software engineering practices, experimentation, and operational excellence.
  • Partner across squads and missions to influence technical strategy and ensure alignment across the Personalization organization.
  • Champion thoughtful adoption of emerging machine learning technologies, including large language models, where they create meaningful user value.
Who You Are
  • You have experience leading and developing high-performing engineering teams.
  • You have built trust through coaching, mentoring, and supporting engineers in their career growth.
  • You have deep expertise building and operating production machine learning systems at scale.
  • You understand the end-to-end machine learning lifecycle, from experimentation through deployment and monitoring.
  • You are experienced working with modern machine learning techniques, including large language models and generative AI applications.
  • You communicate effectively across engineering, product, and data science partners.
  • You care about building inclusive teams where collaboration, curiosity, and continuous learning thrive.
  • You balance technical excellence with pragmatic decision-making and delivering meaningful business outcomes.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern Standard time zone.
The United States base range for this position is $184,049- $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice