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Remote Machine Learning Jobs in Detroit, MI (NOW HIRING)

Machine Learning Engineer

Detroit, MI · On-site +1

$107K - $241K/yr

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that facilitate automated data-driven decision-making, gather data, and determine statistical algorithms and ...

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 ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

AI Engineer

Troy, MI · On-site +1

$78K - $82K/yr

... remote. The AI Engineer plays a pivotal role in advancing Detroit Defense's mission across the ... Build, train, and evaluate machine learning models for classification, prediction, and simulation ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

New

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

... machine learning services. 3. A/B testing design, implementation, and analysis, and experimental design methodologies. 4. MLOps practices, including model deployment, versioning, and automated ...

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Remote Machine Learning information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

How much do remote machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote machine learning in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Detroit, MI? The most popular types of Machine Learning jobs in Detroit, MI are:
What job categories do people searching Remote Machine Learning jobs in Detroit, MI look for? The top searched job categories for Remote Machine Learning jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Machine Learning jobs? Cities near Detroit, MI with the most Remote Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

Rock Connections

Detroit, MI • On-site, Remote

$107K - $241K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

As a Machine Learning Engineer, you will design and develop the platforms and frameworks that facilitate automated data-driven decision-making, gather data, and determine statistical algorithms and models that a system can use to learn from experience, predict outcomes, and make decisions.

About the role

  • 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

About you

Minimum Qualifications

  • Master's degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience

Preferred Qualifications

  • 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

Whatyou'llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put:We'vegot your back. Check out our full list ofBenefits and Perks.

Aboutus

Rocket Mortgagewas founded in 1985. Today,we'rea Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams.We'reknown as experts in the mortgage industry, butwe'realso innovators - we strive to create the best experiences for our clients from beginning to end. Andwe'renot your typical employer.We'reinsistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard.Apply today to join a team that offers career growth, amazingbenefitsand the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of thecompany at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationstoqualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, atCareers@Rocket.com.

The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $107,000.00-$241,500.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.