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Privacy Preserving Machine Learning Jobs in Palatine, IL

DRW

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

Significant hands-on experience applying machine learning algorithms to real world problems ... Privacy Notice for information about certain legal rights at #LI-SB1

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Chicago, IL · On-site

$120K/yr

Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market ... Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Chicago, IL

$120K/yr

Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market ... Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · On-site

$160K - $170K/yr

This is not a software engineering, data science, or machine learning development role. Instead ... Promote AI as a productivity enhancement tool that augments employee capability while preserving ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · Remote

This is not a software engineering, data science, or machine learning development role. Instead ... Promote AI as a productivity enhancement tool that augments employee capability while preserving ...

Jorie AI

Enterprise AI Enablement Lead

Oak Brook, IL · On-site

This is not a software engineering, data science, or machine learning development role. Instead ... Promote AI as a productivity enhancement tool that augments employee capability while preserving ...

Pwc

Tax Innovation - AI Engineer - Manager

Chicago, IL

$99K - $266K/yr

... security, privacy, compliance, Responsible AI, data quality, and auditability requirements ... Certifications aligned to artificial intelligence, machine learning, data engineering, or cloud ...

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Privacy Preserving Machine Learning information

See Palatine, IL salary details

$100K

$116.1K

$130.2K

How much do privacy preserving machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for privacy preserving machine learning in Palatine, IL is $116,092.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $129,700.00 per year, depending on experience, location, and employer.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Privacy Preserving Machine Learning jobs in Palatine, IL?

For Privacy Preserving Machine Learning jobs in Palatine, IL, the most frequently searched job titles are:

What job categories do people searching Privacy Preserving Machine Learning jobs in Palatine, IL look for?

The top searched job categories for Privacy Preserving Machine Learning jobs in Palatine, IL are:

What cities near Palatine, IL are hiring for Privacy Preserving Machine Learning jobs?

Cities near Palatine, IL with the most Privacy Preserving Machine Learning job openings:

Privacy Preserving Machine Learning jobs near you
Infographic showing various Privacy Preserving Machine Learning job openings in Palatine, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $116,092 per year, or $55.8 per hour.

Senior Applied Scientist - Shipper Pricing

Uber Freight

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Uber Freight rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

171st of 366 rated logistics

Job description

Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2537

About the Role

As a Sr. Applied Scientist on the Shipper Pricing team, you will apply machine learning, casual inference and optimization techniques to develop and improve Uber Freight's algorithms for real time bidding on shipper freight.  You will have a direct impact on Uber Freight's key business metrics and the opportunity to heavily influence technical direction for this area.  You will collaborate closely with Product, Operations, Engineering, and other scientists in the department on a daily basis.

What the Candidate Will Do

  • Develop creative algorithms for optimally trading off gross revenue and net revenue when bidding on shipper freight in real time across a variety of settings, e.g., open auctions, sealed auctions, reverse waterfall auctions, etc.
  • Prototype and evaluate solutions using statistical analysis and simulation.  
  • Collaborate with engineering teams to deploy, experimentally evaluate, and productionize these solutions.
  • Leverage data to understand product performance and identify improvement opportunities, including analyzing potential causal factors.
  • Establish standard methodologies for data science, including modeling, coding, analytics, and experimentation.
  • Communicate findings and insights to senior management and cross-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.

Basic Qualifications

  • Ph.D. or M.S. in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
  • 4+ years of experience in developing and deploying machine learning models and optimization algorithms in production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
  • Experience with designing, executing and analyzing experiments to measure the impact of changes to production ML models
  • Expertise in observational causal inference or statistical analysis 
  • Proficiency in Python, SQL and Spark

Preferred Qualifications

  • Experience developing NN algorithms
  • Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
  • Experience leading complex technical projects and influencing the scope and output of others
  • Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
  • Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners 
  • Experience in reinforcement learning and causal machine learning

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more.  US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.

About Uber Freight 

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using realtime data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.

Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.

EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

For Chicago-based roles: The salary range for this role is $152,500.00 - $186,000.00 per year

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