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Flexible Remote Machine Learning Engineer Jobs in Michigan

micro1 AI

Engineering AI Evaluator (PhD)

Detroit, MI · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Corning

$104K - $142K/yr

Experiences/Education - Required Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field, or equivalent practical experience ...

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

... machine learning models and algorithms to solve complex business problems. * Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

... Engineering, Computer Applications or a related field and 5 years of experience in the job offered ... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ...

OneStream

AI Product Specialist

Birmingham, MI · Remote

Knowledge of machine learning algorithms, data analysis and programming. * Experience working in a ... OneStream is an Equal Opportunity Employer. #LI-REMOTE #LI-JP1

New

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... Flexible/remote work options.

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Flexible Remote Machine Learning Engineer information

How does a flexible remote work arrangement impact collaboration and project delivery for Machine Learning Engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a Flexible Remote Machine Learning Engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

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

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Michigan? The most popular types of Remote Machine Learning Engineer jobs in Michigan are:
What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Michigan? For Flexible Remote Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Flexible Remote Machine Learning Engineer jobs? Cities in Michigan with the most Flexible Remote Machine Learning Engineer job openings:
Flexible Remote Machine Learning Engineer jobs near you
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Detroit, MI • Remote

$80 - $90/hr

Part-time

Posted 14 days ago

Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions

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