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Overnight 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

$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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How much do overnight software engineer spotify jobs pay per year?

As of Jun 6, 2026, the average yearly pay for overnight 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 Overnight Software Engineer Spotify vs Data Engineer Spotify?

AspectOvernight Software Engineer SpotifyData Engineer Spotify
Primary FocusDeveloping and maintaining software applications during overnight shiftsBuilding and managing data pipelines and infrastructure
Required SkillsProgramming, software development, system troubleshootingSQL, data modeling, ETL processes
Work EnvironmentSoftware development teams, overnight shifts, collaborativeData teams, infrastructure, often flexible hours
Common CertificationsSoftware development certifications (e.g., Java, Python)Data engineering certifications (e.g., AWS, Google Cloud)

While both roles involve technical expertise, the Overnight Software Engineer Spotify focuses on software development during overnight hours, whereas the Data Engineer Spotify specializes in data infrastructure and pipelines. The roles differ in daily tasks but share a need for strong technical skills and industry experience.

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Overnight Software Engineer Spotify jobs near you

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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