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Manager Remote Machine Learning Engineer Jobs in Illinois

We believe in the power and joy of learning At Cengage, our employees have a direct impact in ... Where you'll work: this is a fully remote work from home position with a preference for candidates ...

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... Excellent organization, scheduling, project management and multi-tasking skills. * Ability to write ...

Machine Learning Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart ... In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set ...

This is not a pure research or management role; we are looking for a hands-on builder who thrives ... Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ...

Manage and mentor cross-functional teams, promoting a high-performance culture, technical ... Professional AI Architect, Machine Learning Engineer) or equivalent are a plus * Advanced degree ...

Lead Data Engineer

Bloomington, IL · On-site +1

$152K/yr

... Machine Learning Engineer or Graph Data Engineer position. Must have 5 years of experience with the following: working with graph database management systems (Neo4j or Amazon Neptune) and knowledge ...

Louis) While candidates in the listed locations are encouraged for this role, we are open to remote ... machine learning, or AI). * A deep technical understanding of the impact that Data + AI can drive ...

Build and manage containerized applications * Provision and support configuration of relational ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Build and manage containerized applications * Provision and support configuration of relational ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Showing results 41-60

Manager Remote Machine Learning Engineer information

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.

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.

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.

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 most commonly searched types of Remote Machine Learning Engineer jobs in Illinois? The most popular types of Remote Machine Learning Engineer jobs in Illinois are:
What cities in Illinois are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Illinois with the most Manager Remote Machine Learning Engineer 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 28 days ago


Equity Residential rating

7.4

Company rating: 7.4 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

79th of 218 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.

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