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Remote Embedded Machine Learning Jobs in Gary, IN

Product Manager, Data Analytics

Chicago, IL · On-site +1

$106K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

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Call Center Sales Representative (Remote)

Chicago, IL · Remote

$17/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Machine Learning, Real-time Analytics, and Experimental Modeling on the Strike Marketing Cloud/Data ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

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 ...

Senior ML Engineer

Chicago, IL · Remote

$180K - $240K/yr

  • Medical

  • PTO

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 ...

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE: The Sr Data Scientist will design and implement machine learning and NLP solutions for a claims and ...

Showing results 21-40

Remote Embedded Machine Learning information

See Gary, IN salary details

$69.7K

$152.6K

$173.1K

How much do remote embedded machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote embedded machine learning in Gary, IN is $152,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $172,200.00 per year, depending on experience, location, and employer.

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in Gary, IN?

The most popular types of Embedded Machine Learning jobs in Gary, IN are:

What are popular job titles related to Remote Embedded Machine Learning jobs in Gary, IN?

For Remote Embedded Machine Learning jobs in Gary, IN, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in Gary, IN look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Gary, IN are:

What cities near Gary, IN are hiring for Remote Embedded Machine Learning jobs?

Cities near Gary, IN with the most Remote Embedded Machine Learning job openings:

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site, Remote

$106K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Equity Residential rating

6.7

Company rating: 6.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

135th of 254 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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