1

Java Machine Learning Jobs (NOW HIRING)

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

Ability to write robust code in Python, Java, and R * Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) * Excellent communication skills * Ability ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... or Java Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) Familiarity ...

We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and ... Strong coding skills in Java, Java Script, C/C++, Python * Experience in AI frameworks such as ...

Machine Learning Engineer II

Poway, CA · On-site

$98K - $171K/yr

We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and ... Strong coding skills in Java, Java Script, C/C++, Python * Experience in AI frameworks such as ...

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

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Who You Are * You have experience implementing ML systems at scale in Java, Scala, Python or ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... Who You Are * You have experience implementing ML systems at scale in Java, Scala, Python or ...

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience building data processing pipelines and large scale machine learning systems with ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Strong programming (Python / Scala / Java / SQL etc) and data engineering skills * Proficiency in ...

Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Expertise in model evaluation techniques and ...

next page

Showing results 1-20

JAVA Machine Learning information

See salary details

$15

$56

$77

How much do java machine learning jobs pay per hour?

As of Jul 14, 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:
Infographic showing various Java Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Genentech, Inc.

South San Francisco, CA • On-site

$168K - $312K/yr

Full-time

Posted 6 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

10th of 74 rated pharmaceutical


Job description

Why Genentech
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
The Opportunity
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Analytics, and AI fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
The Machine Learning Engineer sits on the Data Science & Machine Learning Team to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively.
The Machine Learning Engineer will bring a robust understanding of machine learning operations (MLOps) to manage and contribute to our machine learning initiatives.
  • The Machine Learning Engineer will design, enhance, scale, and maintain machine learning solutions from conception to deployment in a production environment.
  • You will collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable ML systems.
  • You will also architect and uphold ML pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles.
  • In addition to ensuring best practices in code quality, version control, and CI/CD for machine learning pipelines, you will also design and implement robust monitoring systems for deployed models to track performance, data drift, and anomalies.
  • The ML Engineer will also pioneer and administer model retraining, A/B testing, and progressive deployment strategies for continuous model enhancement.
  • You will contribute to the company's machine learning architecture to support scalable and repeatable model training and deployment.
  • Facilitate the creation of automated processes for model validation and testing.

Who You Are
  • You hold a Bachelor's Degree in Computer Science or related technical discipline and 3+ years of experience working in a machine learning engineer role, with a minimum of 2 years in an MLOps-focused position.
  • Your expertise in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Scala, Java), MLOps technologies (e.g., Kubeflow, MLflow, AWS Sagemaker), and job scheduling frameworks (e.g., Apache Airflow,AWS Step Functions) is strong.
  • You have a solid understanding and experience with cloud services and containerization technologies/platforms, particularly AWS and Kubernetes.
  • Proficient with software engineering best practices, including agile development, code reviews, SCM, build processes, testing, and operations.
  • Experience with distributed computing and big data technologies (e.g., Hadoop, Spark).

Preferred
  • Experience building and optimizing structured and unstructured big data pipelines, architectures, and datasets.
  • Excellent communication skills to effectively collaborate with cross-functional teams.

This role offers a hybrid schedule working 3 days per week on campus in South San Francisco, CA.
No relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of CA is $168,100.00 - $312,300.00 USD Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Genentech logo

About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

Social media