Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...
Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...
MACHINE LEARNING DEVLOPER
Fremont, CA · On-site
Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... Get the right opportunity and gain experience in building web-centric solutions on Java. Who Should ...
MACHINE LEARNING DEVLOPER
Fremont, CA · On-site
Machine Learning Engineer Opportunity SynergisticIT understands the complex nature of the job ... Get the right opportunity and gain experience in building web-centric solutions on Java. Who Should ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... Python framework, Java and Scala • Extensive knowledge of ML frameworks, libraries, data ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... Python framework, Java and Scala • Extensive knowledge of ML frameworks, libraries, data ...
$28 - $45/hr
Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark
$28 - $45/hr
Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark
$28 - $45/hr
Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark
$28 - $45/hr
Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy * Apache Spark * PySpark
Machine Learning Engineer
Mclean, VA · On-site
GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... Java, Go, etc.
Machine Learning Engineer
Mclean, VA · On-site
GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning ... Java, Go, etc.
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... Fluent in Java, Python, and/or Scala programming languages * Strong communication skills including ...
Machine Learning Engineer
Reston, VA · On-site
Machine Learning Engineer D.C. Area About the Position As a member of our Engineering team, you ... Fluent in Java, Python, and/or Scala programming languages * Strong communication skills including ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... Python framework, Java and Scala • Extensive knowledge of ML frameworks, libraries, data ...
Machine Learning Engineer
Newark, NJ · On-site
... Machine learning models and data ingestion pipelines. • Develop and support a platform that ... Python framework, Java and Scala • Extensive knowledge of ML frameworks, libraries, data ...
Machine Learning Engineer
Cupertino, CA · On-site
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning ...
Machine Learning Engineer
Cupertino, CA · On-site
Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems.Experience building large-scale machine learning ...
Machine Learning Engineer
Herndon, VA · On-site
Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...
Machine Learning Engineer
Herndon, VA · On-site
Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...
Machine Learning Engineer
Newark, NJ · On-site
Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...
Machine Learning Engineer
Newark, NJ · On-site
Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...
Title: Machine Learning Engineer Location: Pittsburgh, PA Duration: Full-time Salary Market ... Strong knowledge of R, Python, and Java. * Strong knowledge of statistics. * Strong critical ...
Quick apply
Title: Machine Learning Engineer Location: Pittsburgh, PA Duration: Full-time Salary Market ... Strong knowledge of R, Python, and Java. * Strong knowledge of statistics. * Strong critical ...
Machine Learning Engineer
Newark, NJ · On-site
Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...
Machine Learning Engineer
Newark, NJ · On-site
Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
They are seeking a Machine Learning Engineer to join the Personalization team, focusing on ... Java, Scala, Python, or similar languages • Experience with PyTorch, Ray, Hugging Face and ...
They are seeking a Machine Learning Engineer to join the Personalization team, focusing on ... Java, Scala, Python, or similar languages • Experience with PyTorch, Ray, Hugging Face and ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
Quick apply
Machine Learning Specialist
New York, NY · On-site
Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being ... Java, Scala, or C/C++. * Experience with one or more deep learning libraries such as PyTorch ...
They are seeking a Machine Learning Engineer to join their Personalization team, focusing on ... Java, Scala, Python, or similar languages. • Experience with PyTorch, Ray, Hugging Face and ...
They are seeking a Machine Learning Engineer to join their Personalization team, focusing on ... Java, Scala, Python, or similar languages. • Experience with PyTorch, Ray, Hugging Face and ...
To ensure success as a machine learning engineer, you should demonstrate solid data science ... Advanced proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks ...
To ensure success as a machine learning engineer, you should demonstrate solid data science ... Advanced proficiency with Python, Java, and R code writing. Extensive knowledge of ML frameworks ...
... Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong foundational knowledge of mathematics, bonus if ...
... Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong foundational knowledge of mathematics, bonus if ...
Java Machine Learning information
See salary details
$15.63 - $21.24
0% of jobs
$21.24 - $26.86
0% of jobs
$26.86 - $32.47
1% of jobs
$32.47 - $38.09
3% of jobs
$38.09 - $43.71
6% of jobs
$43.71 - $49.32
14% of jobs
$49.54 is the 25th percentile. Wages below this are outliers.
$49.32 - $54.94
20% of jobs
The median wage is $56.34 / hr.
$54.94 - $60.56
23% of jobs
$62.95 is the 75th percentile. Wages above this are outliers.
$60.56 - $66.17
18% of jobs
$66.17 - $71.79
11% of jobs
$71.79 - $77.40
4% of jobs
$15
$56
$77
How much do java machine learning jobs pay per hour?
As of Jun 5, 2026, the average hourly pay for java machine learning in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.
What is a Java Machine Learning job?
A Java Machine Learning job involves developing and deploying machine learning models using Java-based frameworks and libraries. Professionals in this role work on data preprocessing, model training, optimization, and integration into applications. They often use tools like Weka, Deeplearning4j, or Apache Spark MLlib. Strong knowledge of Java, machine learning algorithms, and data structures is essential.
What are the key skills and qualifications needed to thrive in the Java Machine Learning position, and why are they important?
To thrive as a Java Machine Learning professional, you need strong Java programming skills, a solid understanding of machine learning algorithms, and a degree in computer science or a related field. Experience with frameworks such as Weka, Deeplearning4j, or Apache Spark MLlib, along with familiarity with data processing tools and industry-standard certifications, is often required. Problem-solving ability, teamwork, and effective communication are valuable soft skills for success in this role. These skills and qualities are critical for developing robust machine learning solutions, efficiently collaborating with technical teams, and addressing complex business challenges.
What are some common challenges faced by Java Machine Learning professionals on the job?
Java Machine Learning professionals often encounter challenges such as integrating machine learning models into existing Java-based production systems, optimizing algorithms for scalability and efficiency, and ensuring data quality for model training. They may also need to stay current with evolving machine learning libraries and approaches, requiring continuous learning and flexibility. Collaborating with data engineers, software developers, and business stakeholders is common, so strong interpersonal and project management abilities are crucial. Overcoming these challenges is key to successfully deploying high-performing, reliable machine learning solutions that meet organizational needs.
More about Java Machine Learning jobs
What are the most commonly searched types of Java Machine Learning jobs? The most popular types of Java Machine Learning jobs are:
What states have the most Java Machine Learning jobs? States with the most job openings for Java Machine Learning jobs include:
What job categories do people searching Java Machine Learning jobs look for? The top searched job categories for Java Machine Learning jobs are:
- Internship Machine Learning Chemistry
- Internship Centura Technical Lead Senior Developer
- Volunteering Machine Learning Hardware
- Internship Machine Learning Quant
- Internship Ai Computer Science
- Internship It Asset Management
- Tensorflow
- Bioinformatics Machine Learning Internship
- Machine Learning Research Intern
- Biology Machine Learning Intern
Full-time
Posted 22 days ago
Job description
Job Summary:
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 promotional strategies and providing actionable insights to customers.
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.
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 promotional strategies and providing actionable insights to customers.
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.