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No Experience Machine Learning Jobs in Michigan (NOW HIRING)

Required : • Master's degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience Preferred : • 1 year of experience ...

Machine Learning Engineer

Detroit, MI · On-site +1

$107K - $241K/yr

... can use to learn from experience, predict outcomes, and make decisions. About the role ... In no event will the Company reduce the compensation for the position to a level below the ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning, reinforcement learning, or scientific computing-or a strong recent graduate with demonstrated ...

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

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No Experience Machine Learning information

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as skilled trades (electrician, plumber), sales positions (real estate agent, insurance broker), or certain tech roles like freelance web developer or digital marketer. Success in these fields typically depends on experience, skills, certifications, or performance rather than formal education.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

How to make $10,000 a month with no degree?

To earn $10,000 a month with no degree, focus on developing in-demand skills such as machine learning, coding, or digital marketing through online courses and self-study. Freelancing, starting a business, or working in high-paying sales or tech roles can also help achieve this income level without formal education.

How to get into machine learning with no experience?

To enter machine learning with no experience, start by learning programming languages like Python and understanding basic statistics. Gain foundational knowledge through online courses, tutorials, and practicing with datasets using tools like scikit-learn or TensorFlow. Building projects and earning certifications can also help demonstrate your skills to employers.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, which often require extensive experience, advanced skills in programming, data analysis, and deep learning, as well as leadership responsibilities. These positions are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.
What are the most commonly searched types of Machine Learning jobs in Michigan? The most popular types of Machine Learning jobs in Michigan are:
What are popular job titles related to No Experience Machine Learning jobs in Michigan? For No Experience Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning jobs in Michigan look for? The top searched job categories for No Experience Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for No Experience Machine Learning jobs? Cities in Michigan with the most No Experience Machine Learning job openings:
Infographic showing various No Experience Machine Learning job openings in Michigan as of June 2026, with employment types broken down into 4% As Needed, 70% Full Time, 22% Part Time, 1% Temporary, 1% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Rocket

Detroit, MI • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
Rocket is a Detroit-based company focused on helping clients achieve their homeownership dreams. As a Machine Learning Engineer, you will design and develop platforms for automated decision-making, collaborate with data scientists, and build services that integrate machine learning models into business processes.
Responsibilities:
• Collaborate with data scientists to develop algorithms and tools for training and running simulations
• Build services to interact with machine learning models through simulations
• Participate in code reviews to ensure code quality and share best practices
• Develop services that host the trained models and work with other application teams to integrate them into business processes
• Gather and analyze large datasets and develop data model pipelines
• Develop algorithms that drive automated data-driven decision-making
• Build the tools for monitoring the performance of machine learning applications
Qualifications:
Required:
• Master’s degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
Preferred:
• 1 year of experience in machine learning and using libraries such as Scikit-learn, TensorFlow, Caffe, Keras, etc.
• 1 year of experience working with large datasets, structured and unstructured
• 1 year of programming experience, including Java, or Python
• 1 year of experience with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka)
• 1 year of experience with distributed computing platforms, such as Spark, and user interface frameworks, such as Angular or React
• 1 year of experience with cloud computing providers such as AWS or Azure
• Ph.D. in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
• Proficiency in the Microsoft Office suite
• Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
• Knowledge of big data
Company:
Own the Dream. Mortgage services provided by Rocket Mortgage, LLC. NMLSConsumerAccess.org, NMLS #3030 Founded in 2018, the company is headquartered in Kyiv, UKR, with a team of 10001+ employees. The company is currently Late Stage.