2

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

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Senior Business Analyst (AI COE)

Novi, MI · Remote

$86K - $112K/yr

You will embed in one or two functional areas at a time - learning how the work actually gets done ... Build business cases, financial models, and ROI analyses with strong quantitative rigor.

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

... machine activity, downtime, scrap, quality, operational reporting, and other plant-floor business ... They should be comfortable learning an established application and manufacturing domain ...

Showing results 21-39

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 Aug 22, 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 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.

Vision Engineer

DISHER

Detroit, MI • On-site, Remote

Full-time

Re-posted 5 days ago


Job description

Vision Engineer - Remote / Travel
DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies".
What it's like to work here:
Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you!
What you will get to do:
  • Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas.
  • Write, implement, and debug PLC software.
  • Provide support to existing vision equipment globally.
  • Follow health, safety, environmental regulations, and safety protocols, (LOTO).
  • Build mutual trust, respect, and cooperation among all team members.
  • Communicate across cross-functional groups.
  • Be responsible for projects from technical specification to startup support.
  • Develop contingency and disaster recovery plans.
  • Create training documentation.

What will make you successful:
  • Three years of experience in a controls/vision engineering role.
  • Must be a self-starter, team player, work well with others, and have a positive attitude.
  • Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy.
  • Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio.
  • Knowledgeable of Keyence & Cognex cameras.
  • Must have ability to prioritize, multi-task and meet deadlines.
  • C+ or C++ Programming capabilities.
  • Knowledge on machine learning with AI capabilities.
  • Self-driven and willingness to work long hours during installations, if required.
  • Willingness to travel globally - up to 30-50%.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.