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Contract Biomedical Machine Learning Jobs in Niles, IL

San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for fraud detection • Architect large ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Contract Biomedical Machine Learning information

See Niles, IL salary details

$15

$28

$38

How much do contract biomedical machine learning jobs pay per hour?

As of May 28, 2026, the average hourly pay for contract biomedical machine learning in Niles, IL is $28.39, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $32.07 per hour, depending on experience, location, and employer.

What is the difference between Contract Biomedical Machine Learning vs Contract Data Scientist?

AspectContract Biomedical Machine LearningContract Data Scientist
CredentialsBackground in biomedical engineering, machine learning, data analysisBackground in statistics, computer science, data analysis
Work EnvironmentHealthcare, biotech, research labsTech companies, finance, consulting firms
Industry UsageMedical device development, clinical researchBusiness analytics, product development

Contract Biomedical Machine Learning specialists focus on applying machine learning techniques to biomedical data within healthcare and biotech settings. In contrast, Contract Data Scientists work across various industries analyzing data to inform business decisions. While both roles require data analysis skills, Contract Biomedical Machine Learning emphasizes biomedical knowledge and healthcare applications.

What cities near Niles, IL are hiring for Contract Biomedical Machine Learning jobs? Cities near Niles, IL with the most Contract Biomedical Machine Learning job openings:
Infographic showing various Contract Biomedical Machine Learning job openings in Niles, IL as of May 2026, with employment types broken down into 2% Internship, 47% Full Time, 33% Part Time, 9% Temporary, 7% Contract, and 2% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $59,055 per year, or $28.4 per hour.

Machine Learning Engineer

Kasmo Global

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning Engineer

Location: San Jose, CA/Chicago, IL

Duration: 18 months contract with a possible extension

What You'll Do

• Redesign and optimize PayPal's MLOps and decision platform for fraud detection

• Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.

• Collaborate with data scientists and platform engineers to automate workflow

• Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.

• Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.

• Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.

• Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.

• Tasks will be distributed via our Jira board/sprint planning/grooming cycle.

• Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers).

• During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50.

• Team work mostly within Jira board from tasks assignments and tracking.

• Code would be in our centralized GitHub repo.

• Updates/documentation would be either in wiki page or our SharePoint/share drive.

You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.

Top Skills:
  • Big Query, Python, SQL
  • Understand the production systems architect and offline data overview
  • Machine Learning experience