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Privacy Preserving Machine Learning Jobs in Chicago, IL

DRW

AI Engineer

Chicago, IL · On-site

$175K - $300K/yr

You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that ... Privacy Notice for information about certain legal rights at #LI-BL1

Accenture

Senior Data Scientist

Chicago, IL · On-site

Develop supervised and unsupervised machine learning solutions, including classification ... Experience with AI governance, Responsible AI, model risk, data ethics, privacy, security ...

New

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 ...

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 ...

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 · 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 ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Chicago, IL

Privacy Preserving Machine Learning information

See Chicago, IL salary details

$102.5K

$119K

$133.4K

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

As of Aug 12, 2026, the average yearly pay for privacy preserving machine learning in Chicago, IL is $118,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $132,900.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Privacy Preserving Machine Learning jobs in Chicago, IL? For Privacy Preserving Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Privacy Preserving Machine Learning jobs in Chicago, IL look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Privacy Preserving Machine Learning jobs? Cities near Chicago, IL with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

AI Engineer

DRW

Chicago, IL • On-site

$175K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Job description

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it's not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.
Key Responsibilities:
  • Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
  • Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
  • Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
  • Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
  • Create and maintain feature pipelines, feature stores, and model stores.
  • Develop frameworks to enable scalable, reproducible research.
  • Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:
  • Bachelor's or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 3+ years of experience working with machine learning and artificial intelligence technology.
  • Strong understanding of core machine learning and artificial intelligence concepts.
  • Excellent programming skills in Python.
  • Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
  • Hands-on experience with MLOps and AIOps infrastructure and tooling.
  • Proficient in problem-solving and analytical reasoning.
  • Exceptional communication and collaboration skills.
  • Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.
  • Experience with Large Language Models, including RAG and fine-tuning techniques.
  • Familiarity with compute infrastructure necessary to support operating AI and ML technology.

The annual base salary range for this position is $175,000 to $300,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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