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Hourly Software Engineer Spotify Jobs (NOW HIRING)

Spotify

Senior Sales Engineer - Backstage

New York, NY · On-site +1

$160K - $228K/yr

A Spotify Backstage Sales Engineer is responsible for mainly pre-sales work with prospects to ... Strong background in software engineering or DevOps, with knowledge of Kubernetes, CI/CD, and other ...

Spotify

Senior Sales Engineer - Backstage

New York, NY · On-site

$160K - $228K/yr

A Spotify Backstage Sales Engineer is responsible for mainly pre-sales work with prospects to ... Strong background in software engineering or DevOps, with knowledge of Kubernetes, CI/CD, and other ...

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$63.5K

$147.5K

$205.5K

How much do hourly software engineer spotify jobs pay per year?

As of Jun 5, 2026, the average yearly pay for hourly software engineer spotify in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Hourly Software Engineer Spotify vs Hourly Web Developer?

AspectHourly Software Engineer SpotifyHourly Web Developer
Required CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, web development certifications
Work EnvironmentTech company, collaborative teams, agile settingVaries: agencies, startups, in-house teams
Employer & Industry UsageMajor tech firms, entertainment & streaming industryWeb agencies, tech startups, e-commerce
Common Search & ComparisonYesYes

The main difference between an Hourly Software Engineer at Spotify and an Hourly Web Developer lies in their focus areas. Spotify's software engineers typically work on backend systems, streaming technology, and platform infrastructure within a tech-driven entertainment environment. Web developers, however, focus on building and maintaining websites and web applications across various industries. Both roles require coding skills and technical credentials, but their work environments and industry applications differ significantly.

More about Hourly Software Engineer Spotify jobs
What cities are hiring for Hourly Software Engineer Spotify jobs? Cities with the most Hourly Software Engineer Spotify job openings:
What are the most commonly searched types of Software Engineer Spotify jobs? The most popular types of Software Engineer Spotify jobs are:
What states have the most Hourly Software Engineer Spotify jobs? States with the most job openings for Hourly Software Engineer Spotify jobs include:
What job categories do people searching Hourly Software Engineer Spotify jobs look for? The top searched job categories for Hourly Software Engineer Spotify jobs are:
Hourly Software Engineer Spotify jobs near you
Infographic showing various Hourly Software Engineer Spotify job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 2% Part Time, 3% Temporary, and 3% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Machine Learning Engineer, Personalization, Minesweeper

Spotify

Remote

$117K - $140K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
Spotify is a leading audio streaming subscription service, and they are seeking a Machine Learning Engineer to join their Personalization team. The role involves utilizing AI and ML techniques to enhance music and content understanding, collaborating with cross-functional teams to develop innovative features and improve user experiences.
Responsibilities:
• Utilize in-house and 3rd party LLMs to solve language understanding problems
• Employ techniques such as fine-tuning and RAG to improve models
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
• Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
• Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
• Be a participant in our AI Foundation’s ML community and work collaboratively and efficiently within our existing platforms and systems Perform data analysis to establish baselines and inform product decisions
• Stay up-to-date on the latest machine learning algorithms and techniques
Qualifications:
Required:
• You have a strong background in machine learning, especially experience with Large Language Models
• You have professional experience in applied machine learning
• Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
• You have some hands-on experience implementing or prototyping machine learning systems at scale
• You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You have experience and passion for fostering collaborative teams
• Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
Preferred:
• Experience with Ray or TFX is a plus
• Bonus if you have experience with architecting near real time pipelines
Company:
Spotify is a commercial music streaming service that provides restricted digital content from a range of record labels and artists. Founded in 2006, the company is headquartered in Stockholm, SWE, with a team of 5001-10000 employees. The company is currently Late Stage.

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