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Manager Remote Machine Learning Engineer Jobs in Chicago, IL

Collaborate with UX/UI designers, engineers, and other stakeholders to create and prioritize ... Monthly Book and Masterclass Club meetings - One of our core values is to Keep Learning, so we pay ...

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Candidates with experience in machine learning, large language models (LLMs), AI agents, and ...

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Break work into small, well-bounded tasks and route each task to the best executor - an engineer ... Build and manage the technical-debt backlog, resolving priority issues directly instead of relying ...

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Design, implement, and optimize advanced machine learning and optimization models to address ... Collaborate with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps partners ...

Showing results 41-60

Manager Remote Machine Learning Engineer information

See Chicago, IL salary details

$31.4K

$70.7K

$119K

How much do manager remote machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager remote machine learning engineer in Chicago, IL is $70,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $76,700.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

What are the key skills and qualifications needed to thrive as a manager remote machine learning engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

What are the most commonly searched types of Remote Machine Learning Engineer jobs in Chicago, IL?

The most popular types of Remote Machine Learning Engineer jobs in Chicago, IL are:

What job categories do people searching Manager Remote Machine Learning Engineer jobs in Chicago, IL look for?

The top searched job categories for Manager Remote Machine Learning Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Manager Remote Machine Learning Engineer jobs?

Cities near Chicago, IL with the most Manager Remote Machine Learning Engineer job openings:

Infographic showing various Manager Remote Machine Learning Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $70,685 per year, or $34 per hour.

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • 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.

  • Partners with the Senior Software Engineer - Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.


Equity Residential rating

6.7

Company rating: 6.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

136th of 260 rated facilities management


Job description

About Vivmark Residential:

Vivmark Residential exists to set the mark for what home can be. Formed through the merger of AvalonBay Communities and Equity Residential, Vivmark brings together two industry leaders with a shared commitment to excellence, innovation, and delivering exceptional living experiences. Our vision is to be the most trusted and best-performing rental housing company in America - one that continues to get better as it grows. And we're looking for people who want to help us do it.

As an owner, developer, and manager of more than 180,000 apartment homes in major markets across the US, we have the scale to offer something most companies can't. At Vivmark, team members move up and across functions, markets, and disciplines, building lasting careers. We invest in team members' growth, development, and capabilities that make them and us better, and we hold ourselves to the highest standard as an employer.

The best people want to work here. We hope you're one of them.

We Offer: A competitive benefits package that supports your health, financial well-being, and work-life balance, including medical, dental, and vision coverage, a 401(k) with company match, paid vacation and company holidays, and exclusive team member housing discounts. 

The Role:

Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Vivmark 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 a team member 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.

RELOCATION:

Vivmark 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. Team members enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.

Vivmark 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. Vivmark Residential is committed to hiring a diverse workforce. Vivmark Residential has a smoke-free workplace environment.

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

Vivmark Residential exists to set the mark for what home can be. Our vision is to be the most trusted and best-performing rental housing company in America - one that continues to get better as it grows. And we're looking for people who want to help us do it.

As an owner, developer, and manager of more than 180,000 apartment homes in major markets across the US, we have the scale to offer something most companies can't. At Vivmark, team members move up and across functions, markets, and disciplines, building lasting careers. We invest in team members' growth, development, and capabilities that make them and us better, and we hold ourselves to the highest standard as an employer.

The best people want to work here. We hope you're one of them.

Vivmark Values

At Vivmark Residential, like our residents, our employees come from everywhere. A richly diverse work environment captures top talent, cultivates the best ideas, and creates the widest possible platform for success. By focusing on inclusion, these differences are harnessed to create value - in ideas, business practices, relationships, and employee engagement. As an Equal Opportunity Employer, we are committed to maintaining a diverse, inclusive and equitable work environment where our employees can thrive. 

All aspects of the employment process are merit-based. Every Vivmark employee is expected to maintain a work environment that is free from discrimination and harassment. Vivmark Residential does not discriminate against any employee or job applicant because of race, religion, color, creed, sex, sexual orientation, gender, sexual/gender identity/expression, age, pregnancy (including childbirth, lactation or related medical conditions), physical or mental disability, national origin, citizenship status, military (including uniformed service member or protected veteran) status, marital status, genetic characteristic or information, ancestry or any other characteristic protected by law. Vivmark Residential also prohibits retaliation against individuals who report harassment or discrimination, or participate in investigations into such conduct.


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