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Remote Machine Learning Jobs in Ann Arbor, MI (NOW HIRING)

Remote • XtendM3 certification from Infor. • Experience in developing mashup in multi-tenant cloud. • Must have worked in an Infor-M3 environment for over 10 years • Must understand ...

Senior Software Engineer

Southfield, MI · On-site +1

$57 - $70/hr

Work Environment This position follows a hybrid work schedule, with remote work on Mondays and Fridays and in-office collaboration from Tuesday through Thursday. You will work in a fast-paced ...

Continuous learning and bringing ideas and best practices. * Self-starter, capable of working independently with minimal management oversight. Desired skills * Knowledge of DLP solutions or Data ...

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

Learning and development opportunities Benefits are subject to eligibility requirements and the terms of the applicable benefit plans and programs. #LI-Remote We are building an incredible team of ...

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master's degree in Computer Science, Computer Engineering, or a related quantitative field. * Experience ...

Senior Software Engineer I

Detroit, MI · Remote

$121K - $159K/yr

From understanding the business problem, shaping the technical approach, building across the stack, deploying to production, and learning from real usage. You will be expected to use AI as a core ...

Showing results 41-49

Remote Machine Learning information

See Ann Arbor, MI salary details

$24.9K

$41.7K

$86.1K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Ann Arbor, MI is $41,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Machine Learning jobs in Ann Arbor, MI?

The most popular types of Machine Learning jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Remote Machine Learning jobs?

Cities near Ann Arbor, MI with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,661 per year, or $20 per hour.

Sr. Software Engineer-with AWS services : Remote Role

Marvel Technologies Inc

Southfield, MI • Remote

$125K - $165K/yr

Contractor

Re-posted yesterday


Job description

Job Title :  Sr. Software Engineer

Location :   Remote Role

Duration : Long Term

Contract on w2

Job Description:

Key Responsibilities

  • Leading the design and implementation of complex, scalable, and secure AWS solutions tailored to customer needs
  • Design and optimize Amazon Neptune graph database for organizational relationships
  • Collaborating with stakeholders to gather requirements and propose effective migration strategies
  • Provide technical guidance and troubleshooting support throughout project delivery
  • Configure and maintain OpenSearch clusters for search and analytics
  • Implement data synchronization workflows from external APIs
  • Implement Infrastructure as Code using Serverless Framework v3
  • Configure monitoring, logging, and alerting using CloudWatch.

 Skills

  • 5+ years** experience with AWS services (AppSync, Lambda, Neptune, OpenSearch, ECS)
  • 3+ years** with Infrastructure as Code (CloudFormation, Serverless Framework, Terraform)
  • Strong proficiency** in Python and JavaScript/Node.js
  • Experience with GraphQL API design and implementation
  • Knowledge of graph databases (Neptune, Neo4j) and search engines (OpenSearch, Elasticsearch)
  • Docker containerization and ECS orchestration
  • Excellent communication and documentation skills
  • AWS certifications (Solutions Architect, Developer)