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Remote Machine Learning Quant Jobs in Troy, MI (NOW HIRING)

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat

Senior Machine Learning Engineer

Detroit, MI ยท Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat

AI Data Science Evaluator

Detroit, MI ยท Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies.

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Showing results 1-20

Remote Machine Learning Quant information

See Troy, MI salary details

$10.4K

$122.9K

$187.7K

How much do remote machine learning quant jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote machine learning quant in Troy, MI is $122,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $131,300.00 per year, depending on experience, location, and employer.

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

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are popular job titles related to Remote Machine Learning Quant jobs in Troy, MI?

For Remote Machine Learning Quant jobs in Troy, MI, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Troy, MI look for?

The top searched job categories for Remote Machine Learning Quant jobs in Troy, MI are:

What cities near Troy, MI are hiring for Remote Machine Learning Quant jobs?

Cities near Troy, MI with the most Remote Machine Learning Quant job openings:

Infographic showing various Remote Machine Learning Quant job openings in Troy, MI as of August 2026, with employment types broken down into 6% Internship, 58% Full Time, 6% Part Time, and 30% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,896 per year, or $59.1 per hour.

Quantitative Reasoning Specialist - Remote

Detroit, MI โ€ข Remote

micro1 AI
Software Developmentย โ€ขย 11 - 50 employees

$245 - $280/hr

Part-time

Posted 18 days ago


Job description

Role Title: Data Scientist


Role Type: Contractor


Location: Remote


About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.


Scope of Work

  1. Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
  2. Create expert-level prompts, datasets, and reference solutions
  3. Identify flawed methodology, statistical errors, and weak quantitative reasoning
  4. Provide structured feedback that improves model capability


Preferred Qualifications

  1. At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
  2. Undergraduate degree from a top-ranked university
  3. Based in an English-speaking country
  4. Clear written communication of technical and statistical concepts