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Junior Machine Learning Compiler Engineer Jobs in Cedarburg, WI

Techvilla Solutions

ML Ops Engineer

Hartland, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Thiensville, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

North Lake, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Waukesha, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Nashotah, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Colgate, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Delafield, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Lannon, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

New Berlin, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Butler, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Brown Deer, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Pewaukee, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Whitefish Bay, WI · On-site

Deploy and manage machine learning models across cloud and on-premise environments. * Implement ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Generac

Senior Engine Code Engineer

Waukesha, WI · On-site

$104K - $143K/yr

The Senior Engine Code Engineer plays an important role in advancing the design and performance of ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

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All JobsMachine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer JobsJunior Machine Learning Compiler Engineer Jobs in Cedarburg, WI

Junior Machine Learning Compiler Engineer information

See Cedarburg, WI salary details

$32.9K

$70.6K

$107.7K

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

As of Aug 21, 2026, the average yearly pay for junior machine learning compiler engineer in Cedarburg, WI is $70,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $78,700.00 per year, depending on experience, location, and employer.

What does a junior machine learning compiler engineer do?

A Junior Machine Learning Compiler Engineer helps design, develop, and optimize compilers for machine learning models. Their work involves translating high-level machine learning code into efficient low-level code that can run on various hardware platforms, such as CPUs, GPUs, or specialized AI chips. They often collaborate with software engineers and data scientists to ensure that machine learning workloads run efficiently and correctly. This role typically involves programming, debugging, and performance tuning, often using languages like C++, Python, and specialized frameworks.

What are typical projects and responsibilities for a junior machine learning compiler engineer in a collaborative team setting?

As a Junior Machine Learning Compiler Engineer, you can expect to work on projects that focus on optimizing machine learning models for performance and deployment across various hardware platforms. Typical responsibilities include assisting in developing and debugging compiler passes, implementing optimizations, and contributing to code reviews. You'll frequently collaborate with senior engineers, data scientists, and hardware specialists to ensure that models are efficiently translated and executed. This role offers valuable learning opportunities through hands-on coding, exposure to state-of-the-art ML frameworks, and regular team meetings for knowledge sharing and mentorship.

What are the key skills and qualifications needed to thrive as a junior machine learning compiler engineer, and why are they important?

To thrive as a Junior Machine Learning Compiler Engineer, you need a solid background in computer science fundamentals, programming (especially C++ and Python), and foundational knowledge of machine learning and compiler theory. Familiarity with frameworks and tools such as LLVM, TensorFlow, MLIR, and version control systems is typically required, along with a relevant bachelor’s or master’s degree. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills set standout candidates apart. These skills and qualities are crucial for efficiently optimizing machine learning models for various hardware targets and collaborating on innovative compiler solutions.

What is the difference between Junior Machine Learning Compiler Engineer vs Data Scientist?

AspectJunior Machine Learning Compiler EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; knowledge of compiler design and ML frameworksBachelor's or higher in Data Science, Statistics, Computer Science, or related field; strong analytical skills
Work EnvironmentSoftware development teams, focusing on compiler optimization for ML modelsData analysis teams, focusing on data interpretation and model development
Employer & Industry UsageTech companies, AI startups, hardware firmsTech firms, finance, healthcare, research institutions

The Junior Machine Learning Compiler Engineer primarily focuses on developing and optimizing compilers for machine learning models, requiring programming and compiler knowledge. In contrast, a Data Scientist analyzes data, builds models, and provides insights. Both roles are essential in AI and tech industries but differ in technical focus and daily tasks.

What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Cedarburg, WI?

The most popular types of Machine Learning Compiler Engineer jobs in Cedarburg, WI are:

What are popular job titles related to Junior Machine Learning Compiler Engineer jobs in Cedarburg, WI?

For Junior Machine Learning Compiler Engineer jobs in Cedarburg, WI, the most frequently searched job titles are:

Junior Machine Learning Compiler Engineer jobs near you

ML Ops Engineer

Techvilla Solutions

Hartland, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization, model deployment, monitoring, and ML lifecycle management.

Roles and Responsibilities
  • Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining.
  • Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration.
  • Deploy and manage machine learning models across cloud and on-premise environments.
  • Implement model versioning, experiment tracking, feature management, and model governance.
  • Build scalable infrastructure using Docker, Kubernetes, and cloud services.
  • Monitor model performance, data quality, system health, and production workloads.
  • Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams.
  • Troubleshoot production ML systems and optimize reliability, scalability, and performance.
  • Implement security, access controls, logging, and compliance best practices.
Required Skills
  • 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.
  • Strong experience with MLOps concepts and ML lifecycle management.
  • Hands-on experience with Python and scripting.
  • Experience with AWS, Azure, or GCP.
  • Strong knowledge of Docker and Kubernetes.
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar ML platforms.
  • Experience with Git, Terraform, and infrastructure automation.
  • Knowledge of model monitoring, observability, data validation, and model performance tracking.
  • Strong understanding of REST APIs, microservices, Linux, and cloud-native architectures.
Preferred Skills
  • Experience with Apache Airflow, Databricks, Spark, or Kafka.
  • Knowledge of LLMOps/GenAI deployment and monitoring.
  • Experience with model serving frameworks such as KServe, Seldon, or NVIDIA Triton.
  • Familiarity with Prometheus, Grafana, ELK, or similar observability tools.
  • Understanding of ML security, governance, and responsible AI practices.
Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.

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