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Machine Learning Engineer New Grad Jobs in Detroit, MI

Optimal CAE

ML Engineer

Warren, MI

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

SynergisticIT

AI and Machine Learning Engineer

Detroit, MI

$104K - $125K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience. Essential * Extensive and proven track record of shipping deep ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Detroit, MI

Machine Learning Engineer New Grad information

See Detroit, MI salary details

$31.2K

$127.5K

$191.6K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning engineer new grad in Detroit, MI is $127,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $153,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

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

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Detroit, MI? For Machine Learning Engineer New Grad jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Detroit, MI look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Machine Learning Engineer New Grad jobs? Cities near Detroit, MI with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
ML Engineer

ML Engineer

Optimal CAE

Warren, MI

Other

Posted 17 days ago

Job description

Machine Learning Engineer
Job Summary
We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have experience developing, training, and optimizing AI models and applying advanced techniques to solve real-world image processing and perception challenges.
Key Responsibilities
Design, develop, and optimize machine learning and deep learning models.
Conduct experiments, evaluate model performance, and implement improvements.
Work with large-scale datasets for training, validation, and testing.
Translate research concepts into scalable, production-ready solutions.
Collaborate with engineering and research teams to integrate AI models into applications.
Document technical approaches, experiments, and findings.
Required Qualifications
Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in machine learning, deep learning, and computer vision.
Experience with Python and frameworks such as PyTorch or TensorFlow.
Solid understanding of linear algebra, probability, statistics, and optimization.
Research experience in machine learning or AI through academic projects, thesis work, publications, or industry experience.
Preferred Qualifications
Publications in machine learning, computer vision, or AI conferences/journals.
Experience deploying machine learning models into production environments.
Familiarity with GPU computing and performance optimization

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