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Entry Level Deep Learning Jobs in Michigan (NOW HIRING)

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Entry Level Deep Learning information

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$18K

$78.3K

$172.6K

How much do entry level deep learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level deep learning in Michigan is $78,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,370.00 and $130,408.00 per year, depending on experience, location, and employer.

What are entry level deep learning jobs?

Entry level deep learning jobs are positions designed for individuals who are new to the field of artificial intelligence and machine learning, typically recent graduates or those with limited professional experience. These roles often involve assisting in building, training, and testing neural network models, as well as preprocessing data and supporting senior data scientists or machine learning engineers. Entry level positions may also include tasks such as researching recent advancements, implementing standard algorithms, and contributing to team projects under supervision. A strong foundation in Python, deep learning frameworks like TensorFlow or PyTorch, and an understanding of basic machine learning concepts are usually required.

What are the key skills and qualifications needed to thrive as an entry level deep learning professional?

To thrive as an Entry Level Deep Learning professional, you need a solid understanding of machine learning fundamentals, mathematics (especially linear algebra and calculus), and proficiency in programming languages such as Python. Experience with frameworks like TensorFlow or PyTorch and familiarity with version control systems like Git are typically required. Strong problem-solving abilities, eagerness to learn, and the ability to work collaboratively set candidates apart in this field. These skills and qualities are essential for building, troubleshooting, and improving deep learning models in a rapidly evolving technical landscape.

What are some common challenges faced by entry level deep learning professionals, and how can they be addressed?

Entry-level deep learning professionals often encounter challenges such as understanding complex architectures, managing large datasets, and optimizing model performance. Navigating unfamiliar frameworks and debugging code can also be daunting at first. These challenges can be addressed by seeking mentorship from experienced colleagues, participating in code reviews, and dedicating time to hands-on projects. Additionally, staying updated with the latest research and utilizing online communities or forums can provide valuable support and resources.

What is the difference between Entry Level Deep Learning vs Entry Level Machine Learning?

AspectEntry Level Deep LearningEntry Level Machine Learning
Required CredentialsBachelor's in CS, Data Science, or related; familiarity with neural networksBachelor's in CS, Data Science, or related; basic understanding of algorithms
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, finance, healthcare, and various industries
Employer & Industry UsageAI-focused roles, research institutionsBroader industry applications, including analytics and automation
Common Search & ComparisonOften compared for specialization in neural networks and deep architecturesMore general, covers broader ML techniques

Entry Level Deep Learning focuses on neural networks and complex models, often requiring knowledge of frameworks like TensorFlow or PyTorch. Entry Level Machine Learning covers a wider range of algorithms and techniques. Both roles share foundational skills but differ in specialization and application scope.

What are the most commonly searched types of Deep Learning jobs in Michigan?

The most popular types of Deep Learning jobs in Michigan are:

What are popular job titles related to Entry Level Deep Learning jobs in Michigan?

For Entry Level Deep Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Deep Learning jobs in Michigan look for?

The top searched job categories for Entry Level Deep Learning jobs in Michigan are:

Entry Level Deep Learning jobs near you
Infographic showing various Entry Level Deep Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,307 per year, or $37.6 per hour.

Research Assistant - Department of Pediatrics

Wayne State University

Detroit, MI • On-site

$15/hr

Full-time, Part-time

Posted 21 days ago

Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

290th of 620 rated colleges and universities

Job description

Research Assistant - Department of Pediatrics
Wayne State University is searching for an experienced Research Assistant - Department of Pediatrics at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Job Purpose:
Under the direction of the Principal Investigator, provide scientific and technical assistance to complete laboratory-based research. May assist in writing research protocols and preparing manuscripts autonomously or as directed through training in more difficult or specialized procedures to meet the needs of the research protocol.
Essential Functions:
Perform laboratory-based scientific techniques. Assist in designing and performing experiments. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Communicate with Principal Investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results and/or survey data. Evaluate and perform data analysis using graphs, charts, or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Assist Principal Investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific, and academic conferences, and submittal to academic and scholarly peer-reviewed journals.
Maintain the laboratory work areas, including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of workstation.
Perform other related duties as assigned.
Unique duties:
The Translational Imaging Laboratory is seeking a motivated Part-Time Neuroimaging Data Analyst to support clinical research initiatives. This position involves processing and analyzing neuroimaging datasets, conducting literature reviews, and assisting with the preparation of federal grant applications.Key ResponsibilitiesData Analysis: Assist with the processing, analysis, and quality control of advanced neuroimaging data, with a primary focus on diffusion MRI (dMRI).Research Support: Conduct comprehensive literature reviews and synthesize current scientific findings to support upcoming grant submissions.Documentation: Maintain detailed records of analysis pipelines, protocols, and literature databases.Maximum of 24 hours per week.
Qualifications:
Education: Bachelor's degree
Bachelor's degree from an accredited college or university in a related field of study, preferred.
Requires advanced knowledge predominantly intellectual in character in a field of science or learning acquired by a prolonged course of specialized intellectual instruction.
Experience: Entry level (less that a year of job-related experience)
Experience in performing basic research techniques preferred.
Knowledge, Skills, and Abilities:
Ability to accurately follow research protocols and work independently as required.
Ability to analyze, summarize, and interpret research findings and data in reports and spreadsheets and communicate results.
Knowledge of scientific integrity principles.
Experience in cell, molecular, biological, and biochemical techniques.
Excellent time management and organizational skills.
Excellent interpersonal and communication skills and demonstrated ability to work with others in a collaborative environment.
Experience using Microsoft Office Suite software.
Preferred qualifications:
Education: B.S. (completed or in progress) in Neuroscience, Biology, Physics, Biomedical Engineering, or a closely related field is preferred.Skills: Prior exposure to neuroimaging software or coding environments is a plus, but not strictly required; a strong willingness to learn advanced imaging methods.
School/College/Division:
H06 - School of Medicine
Primary department:
H0618
Employment type:
  • Regular Employee
  • Job type: Fractional Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Hourly Wage
  • Hourly rate:
  • Salary minimum: $15.00
  • Salary hire maximum: $25.00
Working conditions:
Typical work environment may include a laboratory and/or office environment. May require working non-standard business hours, including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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