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Entry Level Machine Learning Engineer Jobs in Michigan

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 Location: Warren, MI / Mountain View, CA Duration: Fulltime Must Have Technical/Functional Skills: • Assist in fine-tuning VLA (Vision-Language Alignment) models for ...

Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite) For quick apply, please reach out Saurabh Kapoor at / You will be responsible for designing, building, deploying, and ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222.91K - $227.20K/yr

Machine Learning Frameworks, including TensorFlow and PyTorch; Mathematical Reasoning and Probability; Programming in C++ or Python; Experience with Robot Operating System (ROS), OpenCV, or PCL;

Machine Learning Engineer

Dearborn, MI · On-site

$51.25 - $68/hr

Skills Required: • GCP, Big Data, Artificial Intelligence & Expert Systems, API • GCP - Mid Level • Big Data - Entry level • Artificial Intelligence & Expert Systems - Entry Level • API

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Entry Level Machine Learning Engineer information

See Michigan salary details

$26.1K

$60.5K

$102.8K

How much do entry level machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level machine learning engineer in Michigan is $60,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $68,400.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What are the most commonly searched types of Machine Learning Engineer jobs in Michigan? The most popular types of Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Michigan? For Entry Level Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Machine Learning Engineer jobs? Cities in Michigan with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Michigan as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $60,456 per year, or $29.1 per hour.
Machine learning Engineer

Machine learning Engineer

JConnect Infotech

Warren, MI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

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 predictive models, anomaly detection systems, and real-time decision-making algorithms. The ideal candidate should have a strong background in signal processing, deep learning, edge AI, time-series analysis, and ML model deployment in IoT environments. Investigate state-of-the-art ML/DL techniques analysis. Develop novel approaches for unsupervised/semi-supervised learning in low-label IoT environments. Explore federated learning, continual learning, and reinforcement learning for adaptive IoT systems. Proficiency in Python, TensorFlow/PyTorch, and scikit-learn. Experience with signal processing libraries (SciPy, librosa, PyWavelets). Familiarity with IoT protocols (MQTT, CoAP) and edge computing.


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About Jconnect Infotech

Sourced by ZipRecruiter

Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.

Industry

Specialized design services

Company size

201 - 500 Employees

Headquarters location

Noida, Uttar Pradesh, in

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