1

Contract Junior Machine Learning Engineer Jobs (NOW HIRING)

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No clearance required, must be clearable. The Machine Learning Engineer will be an essential member of the ...

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

next page

Showing results 1-20

Contract Junior Machine Learning Engineer information

See salary details

$33.5K

$71.8K

$109.5K

How much do contract junior machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for contract junior machine learning engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Contract Junior Machine Learning Engineer jobs? Cities with the most Contract Junior Machine Learning Engineer job openings:
What are the most commonly searched types of Junior Machine Learning Engineer jobs? The most popular types of Junior Machine Learning Engineer jobs are:
What states have the most Contract Junior Machine Learning Engineer jobs? States with the most job openings for Contract Junior Machine Learning Engineer jobs include:

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Spotify is a leading audio streaming subscription service that aims to unlock the potential of human creativity. They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners.
Responsibilities:
• Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development
• Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria
• Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures.
• Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
• Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.
Qualifications:
Required:
• Experience implementing ML systems at scale in Java, Scala, Python or similar languages
• Experience with ML frameworks such as TensorFlow, PyTorch, etc.
• Understanding of how to bring machine learning models from research to production
• Collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers
• Experience in optimizing machine learning models for production use cases
• Familiarity with creating model success metric dashboards
• Willingness to take part in an on-call schedule to maintain performance
Preferred:
• Experience with data pipeline tools like Apache Beam, Scio
• Experience with cloud platforms like GCP
• Exposure to causal ML models, including things like counterfactuals
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.