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Remote Cyber Security Machine Learning Jobs in Illinois

Cybersecurity in medical devices * Machine learning validation requirements * Lifecycle management ... remote $110,000-$150,000 The expected salary range above is applicable if the role is performed ...

Cybersecurity in medical devices * Machine learning validation requirements * Lifecycle management ... remote $110,000-$150,000 The expected salary range above is applicable if the role is performed ...

Lead Data Scientist

Chicago, IL · On-site +1

$83K - $170K/yr

Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

Lead AI/ML Engineer - Remote

Schaumburg, IL · On-site +1

$100K - $132K/yr

Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions * Partner closely with product, business, and ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

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Remote Cyber Security Machine Learning information

What is the difference between Remote Cyber Security Machine Learning vs Remote Cyber Security Analyst?

AspectRemote Cyber Security Machine LearningRemote Cyber Security Analyst
Required CredentialsCertifications in cybersecurity and machine learning (e.g., CISSP, CompTIA Security+, Python, ML certifications)Certifications in cybersecurity (e.g., CISSP, CompTIA Security+)
Work EnvironmentFocus on developing algorithms, analyzing data, and automating security processesMonitoring security alerts, investigating incidents, and implementing security measures
Employer & Industry UsageTech companies, cybersecurity firms, organizations leveraging AI for securityOrganizations across industries needing security monitoring and incident response

Remote Cyber Security Machine Learning specialists develop AI-driven security tools, while Remote Cyber Security Analysts focus on monitoring and responding to threats. Both roles require cybersecurity knowledge, but the former emphasizes data analysis and machine learning skills, whereas the latter concentrates on security operations and incident management.

What is a Remote Cyber Security Machine Learning job?

A Remote Cyber Security Machine Learning job involves using machine learning techniques to detect, prevent, and respond to cyber threats, all while working from a remote location. Professionals in this role develop and deploy algorithms that can identify patterns of malicious activity, automate threat detection, and enhance security protocols. They work with large datasets, collaborate with security teams, and continuously update models to address emerging threats. This position combines expertise in both cyber security and machine learning, making it critical for modern, data-driven security operations.

How does a Remote Cyber Security Machine Learning professional typically collaborate with cross-functional teams?

As a Remote Cyber Security Machine Learning professional, you'll often work closely with cybersecurity analysts, data engineers, and IT staff to design, implement, and refine machine learning models that detect and prevent threats. Collaboration happens primarily through virtual meetings, shared documentation, and project management tools, ensuring that everyone stays aligned despite geographic distances. Clear communication and proactivity are key, as you'll need to translate complex machine learning concepts into actionable insights for team members with varying technical backgrounds. Regular updates and feedback loops help ensure that models are robust, effective, and aligned with organizational security goals.

What are the key skills and qualifications needed to thrive as a Remote Cyber Security Machine Learning Specialist, and why are they important?

To excel in a Remote Cyber Security Machine Learning role, you need a strong background in computer science, cybersecurity principles, and machine learning algorithms, typically supported by a relevant degree and experience. Familiarity with tools like Python, TensorFlow, PyTorch, and security platforms such as SIEM systems, along with certifications like CISSP or CEH, is often required. Excellent analytical thinking, problem-solving skills, and clear remote communication set top performers apart. These abilities are crucial for proactively identifying and mitigating threats using advanced AI techniques while collaborating effectively in distributed teams.
What are popular job titles related to Remote Cyber Security Machine Learning jobs in Illinois? For Remote Cyber Security Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Cyber Security Machine Learning jobs in Illinois look for? The top searched job categories for Remote Cyber Security Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Remote Cyber Security Machine Learning jobs? Cities in Illinois with the most Remote Cyber Security Machine Learning job openings:
Product Manager, Data Analytics

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site, Remote

$106K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Equity Residential rating

7.4

Company rating: 7.4 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

77th of 216 rated facilities management


Job description

Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Equity Residential's analytics and machine-learning-enabled products. This role sits at the intersection of data science, software engineering, and business strategy.  Translating analytical insights into scalable systems and partnering with technical teams to operationalize machine learning models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.

PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.

WHAT YOU'LL DO:

  • Collaborates with business, analytics, and engineering teams to define the vision,  strategy, and long-term roadmap for data and machine learning products. 
  • Translates complex pricing, forecasting, and operational needs into clear product  requirements, user stories, and acceptance criteria. 
  • Leads prioritization across competing business and technical needs, managing  backlogs and release plans. 
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise. 
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints. 
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer - Data & Analytics Products to  operationalize models into user-facing applications and enterprise systems. 
  • Ensures all ML-driven product features emphasize explain ability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system  reliability) to measure product performance and business impact. 
  • Establishes a structured cadence for reviewing KPIs with cross-functional  partners and initiating corrective actions or enhancements. 
  • Drives successful delivery of milestones across pilots, MVP releases, and  product iterations. 
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes. 
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams. 
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates  to maintain alignment and transparency. 
  • Communicates complex analytical concepts in a clear, business-relevant manner  for stakeholders at all levels. 
  • Supports change management, training, and adoption for new analytics  capabilities across the organization. 

REQUIREMENTS:

  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred. 
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform  development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers. 
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance. 
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau,  etc.). 
  • Proven experience with Agile methodologies, backlog management, sprint  execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review  cadences, and leading data-driven decision processes. 
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate,  hospitality, travel, etc.). 
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders. 

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.

SALARY:

$106,228-$132,785 per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.

The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.

WE CARE ABOUT YOUR TOTAL WELLBEING:

  • Physical Wellbeing: Medical, dental, and vision care 
  • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
  • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
  • Community Wellbeing: Paid Community Service Hours
  • Career Wellbeing: Leadership Development
  • Learn more about our Total Wellbeing program here.

RELOCATION:

Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.

PHYSICAL AND VISUAL ACTIVITIES:

Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.

The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. "Commonly associated" is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.

WORKING ENVIRONMENT:

Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Employees enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.

Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.

#LI-WM1 #Hiring #Hybrid #EquityResidential #Chicago #DataAnalytics #MachineLearning #RevenueManagement #ProductManager #DataDriven #TechnologyJobs #CareerOpportunity


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