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Machine Learning Software Engineer Jobs in Michigan

Machine Learning Engineer

Dearborn, MI

$105.50K - $126.60K/yr

Stefanini is looking for a Machine Learning Engineer (Dearborn, MI) For quick apply, please reach ... Data engineering, data product development and software product launches At least three of the ...

The Machine Learning Engineer will be an essential member of the Research and Development Team ... History of software projects putting Machine Learning systems into production in any capacity.

Machine Learning Engineer

Dearborn, MI · Remote

$51.25 - $68.50/hr

Design and develop innovative ML models and software algorithms to solve complex business problems ... We are seeking an experienced Machine Learning Engineer to design, implement, and maintain robust ...

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

Mentor and grow other software engineers and Machine Learning Engineers across teams * Break down larger Machine Learning initiatives into pieces that deliver incremental business value and guide the ...

Design and develop innovative ML models, Gen AI systems, and software algorithms - including LLM ... Machine Learning model fine-tuning. Familiarity with data engineering concepts and practices.

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103.70K - $134.60K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Machine Learning Engineer Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale sensor data from connected devices to build ...

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... Design and develop innovative ML models, Gen AI systems, and software algorithms -- including LLM ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

You will develop the "connective tissue" between high-performance machine learning models running ... Experience: 3+ years of professional software engineering experience in a production environment.

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222.91K - $227.20K/yr

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics Engineering or a related field and Two (2) years of experience as a Software Engineer, Machine Learning ...

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Machine Learning Software Engineer information

See Michigan salary details

$55.3K

$128.6K

$179.1K

How much do machine learning software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning software engineer in Michigan is $128,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.
What are popular job titles related to Machine Learning Software Engineer jobs in Michigan? For Machine Learning Software Engineer jobs in Michigan, the most frequently searched job titles are:
What are popular job titles related to Machine Learning Software Engineer jobs in MI? For Machine Learning Software Engineer jobs in MI, the most frequently searched job titles are:
Infographic showing various Machine Learning Software Engineer job openings in Michigan as of May 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution, with an average salary of $128,581 per year, or $61.8 per hour.

Machine Learning Engineer

Stefanini

Dearborn, MI

$105.50K - $126.60K/yr

Other

Posted 13 days ago


Job description


Stefanini Group is hiring!
Stefanini is looking for a Machine Learning Engineer (Dearborn, MI)
For quick apply, please reach out to Adil Khan at /
We are seeking a Machine Learning who can build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support agentic initiatives. Build scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data to support agentic initiatives.
ResponsibilitiesOptimize existing ML solutions for performance, security, and cost-effectiveness Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles. Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions. Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD. Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process. Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards. Enhance and maintain the DevOps capabilities of the data platform. Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability. Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD). Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle. Perform any necessary data mapping, data lineage activities and document information flows. Monitor the production pipelines and provide production support by addressing production issues as per SLAs. Provide analysis of connected vehicle data to support new product developments and production vehicle improvements. Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models/solutions developed by data scientists and AI engineers.
Skills RequiredTechnical Communication, Communications, Google Cloud Platform, TensorFlow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems, GitHub, Tekton, Docker, Jira, Microservices, Data Architecture, Agile Software Development, SQL, Java, Spark, Cloud Architecture, Apache Kafka, REST APIs
Skills PreferredTelematics, Machine Learning, Data Modeling, Cloud Infrastructure, Data Mining, Database Design, Troubleshooting (Problem Solving), Labor Supervision
Experience RequiredMaster's degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree). 4 years of professional experience in: Data engineering, data product development and software product launches At least three of the following languages: Java, Python, Spark, Scala, SQL 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery. Workflow orchestration tools like Airflow. Relational Database Management System like MySQL, PostgreSQL, and SQL Server. Real-Time data streaming platform like Apache Kafka, Google Cloud Platform Pub/Sub Microservices architecture to deliver large-scale real-time data processing application. REST APIs for compute, storage, operations, and security. DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker. Project management tools like Atlassian JIRA.
Experience PreferredPh.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field. 2 years of experience with ML Model Development and/or MLOps. Committed code to improve open-source data/software engineering projects Experience architecting cloud infrastructure and handling application migrations/upgrades. Google Cloud Platform Professional Certifications. Demonstrated passion to mine raw data and realize its hidden value. Passion to experiment/implement state of the art data engineering methods/techniques. Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production. Analytics skills to profile data, troubleshoot data pipeline/product issues. Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently. Ability to mentor and advise junior team members
Education RequiredBachelor's Degree
Education PreferredMaster's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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